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Paper Citation Record · LEDGER

Progressive Scaling Visual Object Tracking

As of 9 August 2026, this Paper Citation Record lists 100 of 106 outbound references and 0 inbound Pith citation observations for arXiv:2505.19990.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.19990 v2

Coverage vector

measured 100 of 106 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:15.127792Z

measured 100 of 100 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 106 outbound references displayed

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Outbound references

Observation b0c84543-f663-451a-b429-6ef9aff5b0e6 · outbound

This paper cites Tao: A large-scale bench- mark for tracking any object.European Conference on Computer Vision, pages 436–454, 2020.

Progressive Scaling Visual Object Tracking Tao: A large-scale bench- mark for tracking any object.European Conference on Computer Vision, pages 436–454, 2020

Reference 1

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Observation 325a880c-0327-4032-a1a0-0350fcc62133 · outbound

This paper cites Revisiting neural scaling laws in language and vi- sion.Advances in Neural Information Processing Systems, 35:22300–22312, 2022.

Progressive Scaling Visual Object Tracking Revisiting neural scaling laws in language and vi- sion.Advances in Neural Information Processing Systems, 35:22300–22312, 2022

Reference 2

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Observation 37ab9bb2-c3c5-4aac-9793-43432a617450 · outbound

This paper cites Getting vit in shape: Scal- ing laws for compute-optimal model design.Advances in Neural Information Processing Systems, 36, 2024.

Progressive Scaling Visual Object Tracking Getting vit in shape: Scal- ing laws for compute-optimal model design.Advances in Neural Information Processing Systems, 36, 2024

Reference 3

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Observation ab48a6d1-9b0e-424f-8a3d-5193a37fddb1 · outbound

This paper cites ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe.

Progressive Scaling Visual Object Tracking ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe

Reference 4

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Observation 85545810-1af6-436f-8d63-a35dea06a219 · outbound

This paper cites Ar- trackv2: Prompting autoregressive tracker where to look and how to describe.

Progressive Scaling Visual Object Tracking Ar- trackv2: Prompting autoregressive tracker where to look and how to describe

Reference 5

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Observation f7775140-9941-4576-bc16-2a3b4380a34f · outbound

This paper cites Fully-convolutional siamese networks for object tracking.

Progressive Scaling Visual Object Tracking Fully-convolutional siamese networks for object tracking

Reference 6

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Observation e15b4302-9f8a-449c-9a9e-2588f135665a · outbound

This paper cites Learning discriminative model prediction for tracking.

Progressive Scaling Visual Object Tracking Learning discriminative model prediction for tracking

Reference 7

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Observation 8573ed09-0f62-4d10-bf81-c26f0a6df091 · outbound

This paper cites Visual object tracking using adaptive corre- lation filters.

Progressive Scaling Visual Object Tracking Visual object tracking using adaptive corre- lation filters

Reference 8

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Observation 6fd7e908-e700-42a6-9460-e172aa2d65c8 · outbound

This paper cites Language Models are Few-Shot Learners.

Progressive Scaling Visual Object Tracking Language Models are Few-Shot Learners

Reference 9

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Observation 14c25b1f-eff0-4316-a75c-d2ad0b5e2a00 · outbound

This paper cites Smpler-x: Scaling up expressive human pose and shape estimation.Advances in Neural Information Processing Systems, 36, 2024.

Progressive Scaling Visual Object Tracking Smpler-x: Scaling up expressive human pose and shape estimation.Advances in Neural Information Processing Systems, 36, 2024

Reference 10

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Observation e6424aee-b368-4e82-a185-e356dac8ee3d · outbound

This paper cites Back- bone is all your need: A simplified architecture for visual object tracking.

Progressive Scaling Visual Object Tracking Back- bone is all your need: A simplified architecture for visual object tracking

Reference 11

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Observation 439e4df4-3cd9-4a57-94c4-53ff4e097bda · outbound

This paper cites Deepdriving: Learning affordance for direct percep- tion in autonomous driving.

Progressive Scaling Visual Object Tracking Deepdriving: Learning affordance for direct percep- tion in autonomous driving

Reference 12

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Observation fc2b4dc0-1c61-441e-b1e8-7de28fd4108c · outbound

This paper cites Transformer tracking.

Progressive Scaling Visual Object Tracking Transformer tracking

Reference 13

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Observation 2cba22f2-772d-4c8e-a7e9-35e767cb3052 · outbound

This paper cites Seqtrack: Sequence to sequence learning for vi- sual object tracking.

Progressive Scaling Visual Object Tracking Seqtrack: Sequence to sequence learning for vi- sual object tracking

Reference 14

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Observation 78620551-f482-4e15-877d-f41107e07b0e · outbound

This paper cites Siamese box adaptive network for visual tracking.

Progressive Scaling Visual Object Tracking Siamese box adaptive network for visual tracking

Reference 15

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Observation e5bddf16-675f-42bd-a6a1-d04291b8d73d · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning.

Progressive Scaling Visual Object Tracking Reproducible scaling laws for contrastive language-image learning

Reference 16

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Observation 73975dcd-ae63-4411-8293-7b88be74023d · outbound

This paper cites Mixformer: End-to-end tracking with iterative mixed atten- tion.

Progressive Scaling Visual Object Tracking Mixformer: End-to-end tracking with iterative mixed atten- tion

Reference 17

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Observation c55e1cdb-79a1-48f1-9990-f69ced688fc8 · outbound

This paper cites Sportsmot: A large multi-object tracking dataset in multiple sports scenes.

Progressive Scaling Visual Object Tracking Sportsmot: A large multi-object tracking dataset in multiple sports scenes

Reference 18

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Observation ed58ac3a-73dd-4615-8484-8526574bc4e4 · outbound

This paper cites Mixformerv2: Efficient fully transformer tracking.Ad- vances in Neural Information Processing Systems, 36,.

Progressive Scaling Visual Object Tracking Mixformerv2: Efficient fully transformer tracking.Ad- vances in Neural Information Processing Systems, 36,

Reference 19

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Observation 828ed16f-3cdc-4a28-8c73-fe5ef0a63682 · outbound

This paper cites High-performance long- term tracking with meta-updater.

Progressive Scaling Visual Object Tracking High-performance long- term tracking with meta-updater

Reference 20

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Observation d6b075ac-a197-43cd-aa7d-bec7e95d1bba · outbound

This paper cites Atom: Accurate tracking by overlap maximization.

Progressive Scaling Visual Object Tracking Atom: Accurate tracking by overlap maximization

Reference 21

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Observation 13def0ab-151d-4a2f-b5d0-838ca3d1b0c5 · outbound

This paper cites Scaling vision transformers to 22 billion pa- rameters.

Progressive Scaling Visual Object Tracking Scaling vision transformers to 22 billion pa- rameters

Reference 22

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Observation fb07304c-61c7-4a05-81e3-b8440489d16c · outbound

This paper cites MOT20: A benchmark for multi object tracking in crowded scenes.

Progressive Scaling Visual Object Tracking MOT20: A benchmark for multi object tracking in crowded scenes

Reference 23

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Observation 7b4bcecd-2b5d-4e3f-a612-7e12e67ed092 · outbound

This paper cites Motchallenge: A benchmark for single- camera multiple target tracking.International Journal of Computer Vision, 129:845–881, 2021.

Progressive Scaling Visual Object Tracking Motchallenge: A benchmark for single- camera multiple target tracking.International Journal of Computer Vision, 129:845–881, 2021

Reference 24

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Observation f37dddb6-f352-4493-bd69-e456f5a3c4a5 · outbound

This paper cites Mose: A new dataset for video object segmentation in complex scenes.

Progressive Scaling Visual Object Tracking Mose: A new dataset for video object segmentation in complex scenes

Reference 25

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Observation b17745da-39e5-40f1-960f-88236e737404 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Progressive Scaling Visual Object Tracking An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 26

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Observation 1f0e7ccf-6ad9-4a62-a1bb-3148bc3869a1 · outbound

This paper cites The unmanned aerial vehicle benchmark: Ob- ject detection and tracking.

Progressive Scaling Visual Object Tracking The unmanned aerial vehicle benchmark: Ob- ject detection and tracking

Reference 27

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Observation 3fa62bd5-7f55-4de5-b289-1ac1368906f4 · outbound

This paper cites Lasot: A high-quality benchmark for large-scale single ob- ject tracking.

Progressive Scaling Visual Object Tracking Lasot: A high-quality benchmark for large-scale single ob- ject tracking

Reference 28

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Observation 39aabe07-19c8-4993-8cc7-4629f148d016 · outbound

This paper cites Data determines distributional robustness in contrastive lan- guage image pre-training (clip).

Progressive Scaling Visual Object Tracking Data determines distributional robustness in contrastive lan- guage image pre-training (clip)

Reference 29

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Observation e1f29e1b-1d99-4539-ab8e-1bd3c5a34a20 · outbound

This paper cites InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence Generation.

Progressive Scaling Visual Object Tracking InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence Generation

Reference 30

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Observation 463ce8bb-58c2-4e39-970e-adcaf90e2ffe · outbound

This paper cites Gener- alized relation modeling for transformer tracking.

Progressive Scaling Visual Object Tracking Gener- alized relation modeling for transformer tracking

Reference 31

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Observation 5880ff38-302d-471a-a60d-699ebc55da1f · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Progressive Scaling Visual Object Tracking Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 32

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Observation 1ace0fba-e6e9-4e6b-b5f3-ae181f8d3c4b · outbound

This paper cites Separable self and mixed attention transformers for efficient object track- ing.

Progressive Scaling Visual Object Tracking Separable self and mixed attention transformers for efficient object track- ing

Reference 33

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Observation 69491299-1226-48a1-af28-76e63a5ec0a2 · outbound

This paper cites High-speed tracking with kernelized correlation filters.IEEE transactions on pattern analysis and machine intelligence, 37(3):583–596, 2014.

Progressive Scaling Visual Object Tracking High-speed tracking with kernelized correlation filters.IEEE transactions on pattern analysis and machine intelligence, 37(3):583–596, 2014

Reference 34

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Observation 66be9cc3-e7fd-4dd5-8e72-e99dd2e25253 · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

Progressive Scaling Visual Object Tracking Deep Learning Scaling is Predictable, Empirically

Reference 35

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Observation f1020365-bcba-4fcf-a0c4-d6101b8a283c · outbound

This paper cites Training Compute-Optimal Large Language Models.

Progressive Scaling Visual Object Tracking Training Compute-Optimal Large Language Models

Reference 36

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Observation 1ec78105-c4c0-4cd0-843f-4b62eb2acb1b · outbound

This paper cites WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs.

Progressive Scaling Visual Object Tracking WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs

Reference 37

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Observation 47caee20-2549-495e-9791-e205cde956ec · outbound

This paper cites General Compression Framework for Efficient Transformer Object Tracking.

Progressive Scaling Visual Object Tracking General Compression Framework for Efficient Transformer Object Tracking

Reference 38

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no resolver link, observed 2026-08-07T14:11:08.722019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:08.722019Z digest=sha256:35cbeec9222f0c12bd66e1d87cab9391d74f8e1bb4ca617967b28c1dd17d4b7a

Observation 99a4104d-73c1-473a-9175-7061c8e5b8a7 · outbound

This paper cites Onetracker: Unifying visual object tracking with foundation models and efficient tuning.

Progressive Scaling Visual Object Tracking Onetracker: Unifying visual object tracking with foundation models and efficient tuning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.994050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:08.796852Z digest=sha256:1919cd41d88ec1fd925be184941ff907e705323e31a22f510fc5ae2f68863950

Observation 2b0b0e74-f144-49ce-a464-8acc58e4c7e5 · outbound

This paper cites Global instance tracking: Locating target more like hu- mans.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1):576–592, 2022.

Progressive Scaling Visual Object Tracking Global instance tracking: Locating target more like hu- mans.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1):576–592, 2022

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.835598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:08.843394Z digest=sha256:3864d66e015bbfde00be55a5afa03a4987587e1c406ab36aa40eea1903378931

Observation fac914fa-d0d4-4ad5-9034-3319b0b77551 · outbound

This paper cites Got-10k: A large high-diversity benchmark for generic object track- ing in the wild.IEEE transactions on pattern analysis and machine intelligence, 43(5):1562–1577, 2019.

Progressive Scaling Visual Object Tracking Got-10k: A large high-diversity benchmark for generic object track- ing in the wild.IEEE transactions on pattern analysis and machine intelligence, 43(5):1562–1577, 2019

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.718740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:08.886428Z digest=sha256:41ed69c1afd0b24a7d08d27bfa82b4cfcc50a890c3f85bfa7e2511d8da59a1b6

Observation b5e034d3-d5fd-4746-a1cd-fcbd94eb42eb · outbound

This paper cites Automatic foveation for video compression us- ing a neurobiological model of visual attention.IEEE trans- actions on image processing, 13(10):1304–1318, 2004.

Progressive Scaling Visual Object Tracking Automatic foveation for video compression us- ing a neurobiological model of visual attention.IEEE trans- actions on image processing, 13(10):1304–1318, 2004

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.592445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:08.937316Z digest=sha256:69dfcfd4ed0533a171f0721501ca684886ac0a8477af80e06cf6dfe13316ac16

Observation f4febe26-9316-4bcf-b31e-03cca17cfc57 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Progressive Scaling Visual Object Tracking Scaling up visual and vision-language representation learning with noisy text supervision

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.486789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:08.983535Z digest=sha256:7f6d050e285df2b9a51c73ac81a7140881a520ec9706702b7ac63abfcd6d005c

Observation ca0d12e8-a484-4a23-9ffe-55126cf7b70f · outbound

This paper cites Exploring lightweight hierarchical vision transformers for efficient visual tracking.

Progressive Scaling Visual Object Tracking Exploring lightweight hierarchical vision transformers for efficient visual tracking

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.329962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:09.039466Z digest=sha256:b48c1cf88325b9b559ba29cc71743acc814db5c6f095e3210321eeeea6a362ec

Observation 388594c3-ce0b-45fd-acc6-c1d918cc4409 · outbound

This paper cites Scaling Laws for Neural Language Models.

Progressive Scaling Visual Object Tracking Scaling Laws for Neural Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.098348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.098348Z digest=sha256:da0f9354e95f10f60b7d56bff135f7fce4fccffb3f61e9908a2318ecc436efcb

Observation 7a5896fd-6ce1-4d4d-994d-f5af05601251 · outbound

This paper cites Big transfer (bit): General visual representation learning.

Progressive Scaling Visual Object Tracking Big transfer (bit): General visual representation learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:26.199747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:09.143091Z digest=sha256:eaff1587e061e182e67927825ded3e91eb81930d00b69faecd3e9877af3d04f2

Observation a8422727-7309-4d8c-af1b-1c51e224e583 · outbound

This paper cites High performance visual tracking with siamese region pro- posal network.

Progressive Scaling Visual Object Tracking High performance visual tracking with siamese region pro- posal network

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.215204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.215204Z digest=sha256:54ea77e0c4a6d3424f3110a7aa3a3c0cc8be6b3c35a5db8db7f2dc65d35b4070

Observation 1de2b632-910a-44b8-b048-7232cf44bfd4 · outbound

This paper cites Siamrpn++: Evolution of siamese vi- sual tracking with very deep networks.

Progressive Scaling Visual Object Tracking Siamrpn++: Evolution of siamese vi- sual tracking with very deep networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:25.457948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:09.281106Z digest=sha256:817feacf801402f4216ffc5e5bb23d8a994b311953712769d50c8f1c4d11c89e

Observation 2ab73e29-2745-4420-b7be-6cd9c38b8cda · outbound

This paper cites Lasher: A large-scale high-diversity benchmark for RGBT tracking.IEEE Trans- actions on Image Processing, 31:392–404, 2021.

Progressive Scaling Visual Object Tracking Lasher: A large-scale high-diversity benchmark for RGBT tracking.IEEE Trans- actions on Image Processing, 31:392–404, 2021

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:22.975617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:09.324431Z digest=sha256:f830031aa808002371031af69d6542c2a212a6c40682a99e23c501d08c25cb8e

Observation 581a6ceb-97a1-49f4-a78f-96f42e459432 · outbound

This paper cites Tracking meets lora: Faster training, larger model, stronger performance.

Progressive Scaling Visual Object Tracking Tracking meets lora: Faster training, larger model, stronger performance

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:22.221739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:09.365264Z digest=sha256:43e2636c93bc6d4691a46dd3dbdbae78d4fd46956c3f43e9cde9961b0ca5f3c3

Observation 9972f88c-c76e-4bd1-86ce-ec799893529c · outbound

This paper cites Microsoft coco: Common objects in context.

Progressive Scaling Visual Object Tracking Microsoft coco: Common objects in context

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:22.063708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:09.389735Z digest=sha256:de94077b5016c38896ea01d5c98d18908435f06dc19088a3f965393cc0cd0acf

Observation 6ad1204f-04b0-4268-bae1-4bf0d17431e3 · outbound

This paper cites Towards Neural Scaling Laws on Graphs.

Progressive Scaling Visual Object Tracking Towards Neural Scaling Laws on Graphs

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.438355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.438355Z digest=sha256:357ff4fb0e270db11702f64c74e37275f1de35878acc5ccbf273c63e4383b4db

Observation e81e1570-30a4-4f3c-84e8-668d2b27ba6a · outbound

This paper cites Decoupled Weight Decay Regularization.

Progressive Scaling Visual Object Tracking Decoupled Weight Decay Regularization

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.535348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.535348Z digest=sha256:53d277b4597597abcbcaf153e0cd2c1278a9024b59db4205812a3460ae3ce228

Observation 008b2fb9-ad13-4f06-bd4a-2096d909047c · outbound

This paper cites EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model.

Progressive Scaling Visual Object Tracking EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.592996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.592996Z digest=sha256:970ee55642a27d1cb7347e6ba7ecb8557b68ed8ad6f6a1e25c66cefb8b878eb0

Observation 0a50eaea-c597-4f47-945a-712fd0fb5a8d · outbound

This paper cites Be- yond sot: Tracking multiple generic objects at once.

Progressive Scaling Visual Object Tracking Be- yond sot: Tracking multiple generic objects at once

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:21.889954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:09.657828Z digest=sha256:00ae428fe488a2e1faaeecb365c2bad631c4a32add3d4943bec78aa900dc4e96

Observation 8b0543d0-4feb-4d10-9dc4-09564cd5b4c7 · outbound

This paper cites MOT16: A Benchmark for Multi-Object Tracking.

Progressive Scaling Visual Object Tracking MOT16: A Benchmark for Multi-Object Tracking

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:09.753966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:09.753966Z digest=sha256:d198f681af21e13f58b0e7fad9315474c477de6d2ceb335355a044790d0d9f81

Observation 25982780-d3af-4014-b664-dbbb811fc100 · outbound

This paper cites Scaling open-vocabulary object detection.Advances in Neural Information Processing Systems, 36, 2024.

Progressive Scaling Visual Object Tracking Scaling open-vocabulary object detection.Advances in Neural Information Processing Systems, 36, 2024

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:21.750740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:09.811009Z digest=sha256:1146ed624dcafe1f72b0a0fc96357898c5d4b707b4be5414f8a6ec418ea0e04f

Observation 3809393e-ff96-415e-9f6b-6805f533df05 · outbound

This paper cites A benchmark and simulator for uav tracking.

Progressive Scaling Visual Object Tracking A benchmark and simulator for uav tracking

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:21.591079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:09.854510Z digest=sha256:d27d388eade2931f11140d94acdea1989d5a13f953d12f601626b6c2b3dce96e

Observation 582ce037-bb9f-4bf9-87c3-4428f3280a54 · outbound

This paper cites Trackingnet: A large-scale dataset and benchmark for object tracking in the wild.

Progressive Scaling Visual Object Tracking Trackingnet: A large-scale dataset and benchmark for object tracking in the wild

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:21.460727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:09.946386Z digest=sha256:fac82ab3c82d29497d061bf1a37f7dc5a5dc7a463d66ae96df73477df7427260

Observation 3a890487-6c62-44a3-ac54-946f30bdb9b6 · outbound

This paper cites Learning multi- domain convolutional neural networks for visual tracking.

Progressive Scaling Visual Object Tracking Learning multi- domain convolutional neural networks for visual tracking

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:21.298148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:10.018907Z digest=sha256:6514b4ed35b1a8e67d83812def835ccf9183ede2512bf7bf457f7364eacbecc3

Observation b9a31104-6462-43b8-9139-e377714e8f41 · outbound

This paper cites AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility.

Progressive Scaling Visual Object Tracking AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:11:16.732957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:10.105328Z digest=sha256:294434231e0d746956058960a81d8ad2231e22eb86a4212a791fe37682073a51

Observation 820c7a6c-6bf4-49c3-8c1c-d08e7c4c1f41 · outbound

This paper cites Combined scal- ing for zero-shot transfer learning.Neurocomputing, 555: 126658, 2023.

Progressive Scaling Visual Object Tracking Combined scal- ing for zero-shot transfer learning.Neurocomputing, 555: 126658, 2023

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:10.204342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:10.204342Z digest=sha256:49535ef55dd2ea66fcb89aa2836e9132efc03f9223ce40d8cb5752716efbbbcb

Observation d8104714-1b02-484f-b5b5-6384f289b449 · outbound

This paper cites Occluded video instance segmentation: A benchmark.International Journal of Computer Vision, 130 (8):2022–2039, 2022.

Progressive Scaling Visual Object Tracking Occluded video instance segmentation: A benchmark.International Journal of Computer Vision, 130 (8):2022–2039, 2022

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:21.116546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:10.323451Z digest=sha256:c93a593c904612b953e094d3c63ec2deed211a6c32aafb14db3409e03bd47b6a

Observation 7d656761-af20-4509-af35-642ee983bdf1 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Progressive Scaling Visual Object Tracking Learn- ing transferable visual models from natural language super- vision

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:10.462504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:10.462504Z digest=sha256:eeba242f95bf3b67a169043b14a7979b6a8f9c968e095dfd9c8d26e1fadd3a3c

Observation 250477b0-ced0-4fc4-89ee-bb40a79f47b2 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Progressive Scaling Visual Object Tracking Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:10.538543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:10.538543Z digest=sha256:c95032bf2395f1172c7f3230c85fcf7a0978856a43c6d359a4180b1b2359490d

Observation 67acdf1f-c9b4-48b8-904e-2ac3ee8142ca · outbound

This paper cites Scaling vision with sparse mix- ture of experts.Advances in Neural Information Processing Systems, 34:8583–8595, 2021.

Progressive Scaling Visual Object Tracking Scaling vision with sparse mix- ture of experts.Advances in Neural Information Processing Systems, 34:8583–8595, 2021

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.982040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:10.650455Z digest=sha256:ca837d82c5310ae8d8e8680067cd3a3443faa6ca578a224c841d1fc7659c303e

Observation 833b0817-3c99-458a-b9b4-74c64dfa6a58 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Progressive Scaling Visual Object Tracking High-resolution image synthesis with latent diffusion models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:10.730778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:10.730778Z digest=sha256:3a19ff551b34a5e2e64943a3ba3c98f11ec905a5a3cad8b41ef6651e720b5149

Observation 351099dd-0616-4ff4-b9b6-75a3dfb30acd · outbound

This paper cites Hoot: Heavy occlusions in object tracking benchmark.

Progressive Scaling Visual Object Tracking Hoot: Heavy occlusions in object tracking benchmark

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.835727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:10.881836Z digest=sha256:bbf255039c446963147eab98316cea4a8ba5561e46400e85be118fad464691d5

Observation 7e24302c-080a-4a48-8037-34dcb7315ee6 · outbound

This paper cites Revisiting unreasonable effectiveness of data in deep learning era.

Progressive Scaling Visual Object Tracking Revisiting unreasonable effectiveness of data in deep learning era

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:10.954145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:10.954145Z digest=sha256:d457f93086f6275439652b538e9f77c02100b8df5ee7cfcb5638c837a29de32a

Observation dd4e06d8-03c6-4169-a8a2-451fc002c34c · outbound

This paper cites Dancetrack: Multi-object track- ing in uniform appearance and diverse motion.

Progressive Scaling Visual Object Tracking Dancetrack: Multi-object track- ing in uniform appearance and diverse motion

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.672675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:11.067310Z digest=sha256:45cd075c34397f633bfe360bdaa575ecd06afe2e855efb6946fb19692621b1df

Observation 61d5f9ca-7202-40c5-8fdd-4c14bb08c6b2 · outbound

This paper cites Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers.

Progressive Scaling Visual Object Tracking Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:11.182755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:11.182755Z digest=sha256:dee3c79e3ab3497a3324af1dd1f00f4af90ce71b1c014c6d2cb49f2220de6cd7

Observation 04ee4c0c-f4bc-465b-a931-57df3a702f89 · outbound

This paper cites Robust and ef- ficient foreground analysis for real-time video surveillance.

Progressive Scaling Visual Object Tracking Robust and ef- ficient foreground analysis for real-time video surveillance

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.514123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:11.312057Z digest=sha256:9a8f94420e07e35083c89f1fe4b1037ee2e6854dfda8ba027ab2eb7cf82c94a4

Observation beba9e49-fc01-4502-b104-362ddd37f498 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Progressive Scaling Visual Object Tracking LLaMA: Open and Efficient Foundation Language Models

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:11.428186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:11.428186Z digest=sha256:6bd25a7a9152ae97a178ca6f36824b31795d9f750c6ea0698b0b79f1549db321

Observation 028d4226-7067-4f4b-84f1-3591e4b933ca · outbound

This paper cites Image captioners are scalable vision learners too.Advances in Neural Infor- mation Processing Systems, 36, 2024.

Progressive Scaling Visual Object Tracking Image captioners are scalable vision learners too.Advances in Neural Infor- mation Processing Systems, 36, 2024

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.319634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:11.528673Z digest=sha256:540ec4d5d67aebd8b06f5be70c466e7d429797930f3eae7cd35c9f0fe1125587

Observation a6fa363b-2751-4629-8a16-1f008a343d4b · outbound

This paper cites Siam r-cnn: Visual tracking by re-detection.

Progressive Scaling Visual Object Tracking Siam r-cnn: Visual tracking by re-detection

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.162266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:11.670796Z digest=sha256:498331ceda0c13df8bd8795a3200081988430b294b6395530b249812877cd34f

Observation 5db176de-e473-4904-b05c-fc2ce3ab9c32 · outbound

This paper cites Unidentified video objects: A benchmark for dense, open- world segmentation.

Progressive Scaling Visual Object Tracking Unidentified video objects: A benchmark for dense, open- world segmentation

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:20.009861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:11.811255Z digest=sha256:b70be0a6c213fdb75b347a66bb74695390e851a13e539ff326cdb0ef3d391965

Observation a2341e73-f97f-4bd6-aade-16a9cdea6a61 · outbound

This paper cites VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows.

Progressive Scaling Visual Object Tracking VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:11.960802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:11.960802Z digest=sha256:d4b19c79b1c26e39325ab36021fe1706aa3b5f2f7179a493306dcb50e12bb839

Observation d6ca3a14-467f-4b50-a6a6-cec5e6550884 · outbound

This paper cites Towards more flexi- ble and accurate object tracking with natural language: Al- gorithms and benchmark.

Progressive Scaling Visual Object Tracking Towards more flexi- ble and accurate object tracking with natural language: Al- gorithms and benchmark

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:19.841374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:12.120700Z digest=sha256:08a12fb0f109687a391f87b99002fcda1753493cc5ff27b04a10c779bf6eb297

Observation 89991292-e120-4337-90ba-638a77bb50c4 · outbound

This paper cites Autoregressive visual tracking.

Progressive Scaling Visual Object Tracking Autoregressive visual tracking

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:19.659956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:12.216817Z digest=sha256:31e6f8cc8d43b8891371b61c2e2bd9c7818373731de51b474458a7867c1fd309

Observation 1aeb69b1-99c8-4d26-b969-a360435423ab · outbound

This paper cites Online ob- ject tracking: A benchmark.

Progressive Scaling Visual Object Tracking Online ob- ject tracking: A benchmark

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:19.484663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:12.354364Z digest=sha256:ef6503fe98628f6a841bf2495c89cd14b88afb02615b70870be0ecf8461a07be

Observation b5d00a26-edf3-462e-a609-01423de1939e · outbound

This paper cites AnyGraph: Graph Foundation Model in the Wild.

Progressive Scaling Visual Object Tracking AnyGraph: Graph Foundation Model in the Wild

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:12.458637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:12.458637Z digest=sha256:a0a401129f4afbdadac8334086768788e0d3ae4ee84f7a8f4e80398acf806d8c

Observation 5ff27371-0898-4021-810d-4951296920fc · outbound

This paper cites Attribute-based progressive fusion network for RGBT tracking.

Progressive Scaling Visual Object Tracking Attribute-based progressive fusion network for RGBT tracking

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:19.317940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:12.574632Z digest=sha256:7f5b4c49a190349ec6fc01ed8f95b3066afc60a6af092291b94696ef77981549

Observation dc880ee5-80cb-4f2b-94a3-4dd6e096e861 · outbound

This paper cites DynaPrompt: Dynamic Test-Time Prompt Tuning.

Progressive Scaling Visual Object Tracking DynaPrompt: Dynamic Test-Time Prompt Tuning

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:12.691354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:12.691354Z digest=sha256:3bca4c312eeb85e0b9170861e6e28a312fe8955ff692b5fc58c3f9d01b81e8fc

Observation 41e4dccc-e382-4997-9bd6-477808365a31 · outbound

This paper cites On data scaling in masked image modeling.

Progressive Scaling Visual Object Tracking On data scaling in masked image modeling

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:19.164676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:12.806476Z digest=sha256:d90400f87f22714af34b3c3a3854568233a5316f72fc220740fac6f8f70010cc

Observation f48876ef-0884-458a-b7fe-f1bf83b4f35a · outbound

This paper cites Multi- ple human tracking based on multi-view upper-body de- tection and discriminative learning.

Progressive Scaling Visual Object Tracking Multi- ple human tracking based on multi-view upper-body de- tection and discriminative learning

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:19.027097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:12.956635Z digest=sha256:dd85960c4daff37fc465a6641973b1afc6eb28111cbdfbabad45c3819df3b930

Observation 8ff38503-aaf1-4417-ae37-7975eeb39966 · outbound

This paper cites Learning spatio-temporal transformer for vi- sual tracking.

Progressive Scaling Visual Object Tracking Learning spatio-temporal transformer for vi- sual tracking

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:18.869743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:13.041797Z digest=sha256:a91209ca1996fd330eb0aa9dd9d6cb89da249f9045cac2aaea6bfe6471647893

Observation 30394d7d-6492-4c32-bda4-09fb85670623 · outbound

This paper cites Depthtrack: Un- veiling the power of RGBD tracking.

Progressive Scaling Visual Object Tracking Depthtrack: Un- veiling the power of RGBD tracking

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:18.732897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:13.126007Z digest=sha256:dff9715a0d41e1d766ee12048a40d5e1edf0e22dfc829b942bd143141b55c230

Observation 31830219-47b8-4dab-b1ac-630953df496f · outbound

This paper cites Depthtrack: Un- veiling the power of rgbd tracking.

Progressive Scaling Visual Object Tracking Depthtrack: Un- veiling the power of rgbd tracking

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:18.581390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:13.215773Z digest=sha256:ea192eff1a6552666886956066f57ca71cc6748e9e54e2b9d1d43ce7320fa48f

Observation c7fb0d3d-5705-4dfe-ac00-9f7ef9b4cb84 · outbound

This paper cites A Sanity Check for AI-generated Image Detection.

Progressive Scaling Visual Object Tracking A Sanity Check for AI-generated Image Detection

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:13.416233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:13.416233Z digest=sha256:0fea784cf0af4a194a2b872d30f96ce95b5fa6ce5ede62742fda009d7bad8e7f

Observation 30519972-212d-4ded-b247-c0a446c5df05 · outbound

This paper cites Panovos: Bridging non-panoramic and panoramic views with trans- former for video segmentation.

Progressive Scaling Visual Object Tracking Panovos: Bridging non-panoramic and panoramic views with trans- former for video segmentation

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:18.391038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:13.601820Z digest=sha256:c2b74408a49b37dc468485a7a61e9a985c0fd7e0337c89da2fa3d3fb3f7151bc

Observation 45c86d4c-d730-48bd-b1c3-9f836b8df932 · outbound

This paper cites Referred by multi-modality: A unified tem- poral transformer for video object segmentation.

Progressive Scaling Visual Object Tracking Referred by multi-modality: A unified tem- poral transformer for video object segmentation

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:18.239241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:13.726872Z digest=sha256:dd111dab7729bdfe60b5a81c4bf7286cc8ed2bfb25d16c3b45066db9a66104a4

Observation 4a0582bd-6854-4368-9832-49a679522113 · outbound

This paper cites Crosslmm: Decoupling long video sequences from lmms via dual cross-attention mechanisms.arXiv preprint arXiv:2505.17020, 2025.

Progressive Scaling Visual Object Tracking Crosslmm: Decoupling long video sequences from lmms via dual cross-attention mechanisms.arXiv preprint arXiv:2505.17020, 2025

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:13.877323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:13.877323Z digest=sha256:079ab005cb14a5b2effdef50b8394f3cfd33a0f3f282f6169eee796dbadcc6b5

Observation 75c35112-90a3-4fa0-8d4c-4451f91033f1 · outbound

This paper cites Prompting for multi-modal tracking.

Progressive Scaling Visual Object Tracking Prompting for multi-modal tracking

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:18.123367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:14.048167Z digest=sha256:b8b4fc691d7195e119937381c6fd4653350228f1694c9632bed3487d1abbb5e3

Observation 299446c9-7081-4843-934a-abec4bb631ae · outbound

This paper cites Joint feature learning and relation modeling for tracking: A one-stream framework.

Progressive Scaling Visual Object Tracking Joint feature learning and relation modeling for tracking: A one-stream framework

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:17.980467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:14.193531Z digest=sha256:061cbfa311f52c94fb845c8aadbf4a6b8c7dca1a7dc250dbdfb4050e680805f8

Observation 81ed8623-a944-4ff3-83d6-d8f8973908be · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

Progressive Scaling Visual Object Tracking CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:14.323400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:14.323400Z digest=sha256:f26289c19af6a0b04837ef4caae402e3bbf6b357c8600cf228ef754a73afe0c4

Observation b4bfb68e-5c40-47ab-b39a-af0d8bc56c05 · outbound

This paper cites Scaling vision transformers.

Progressive Scaling Visual Object Tracking Scaling vision transformers

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:17.847892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:14.461770Z digest=sha256:4494cdb11f8d552f005412a964801252b1c2d851ad3eb9d7f351f0695598e065

Observation 8dc40d3c-e89a-4740-9ab4-fb2c3f51062b · outbound

This paper cites Instance- level segmentation for autonomous driving with deep densely connected mrfs.

Progressive Scaling Visual Object Tracking Instance- level segmentation for autonomous driving with deep densely connected mrfs

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:17.707588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:14.589844Z digest=sha256:26e6311530f807c9d7527752bc6fcaeed3f7e96d7d42d0302c9c1173ea621be0

Observation 20975c95-2d98-461f-b3b7-9ace2f27d3a8 · outbound

This paper cites Ocean: Object-aware anchor-free tracking.

Progressive Scaling Visual Object Tracking Ocean: Object-aware anchor-free tracking

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:17.576605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:14.781227Z digest=sha256:c63356677536bfe3de38acc2d843ad34e637ebf79657d819892c1296471c6984

Observation b645f6a8-82c4-4e98-a902-ca526d8c78ce · outbound

This paper cites Reading rele- vant feature from global representation memory for visual object tracking.Advances in Neural Information Process- ing Systems, 36:10814–10827, 2023.

Progressive Scaling Visual Object Tracking Reading rele- vant feature from global representation memory for visual object tracking.Advances in Neural Information Process- ing Systems, 36:10814–10827, 2023

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:11:17.431236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:11:14.974228Z digest=sha256:441569a71c07f429caf2dae42623188fd9e75e1c13a2ea07d51abb1aaa6cf497

Observation 1a8f47a5-92dd-4196-baa0-52bace9ec2c0 · outbound

This paper cites DeTrack: In-model Latent Denoising Learning for Visual Object Tracking.

Progressive Scaling Visual Object Tracking DeTrack: In-model Latent Denoising Learning for Visual Object Tracking

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:15.127792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:15.127792Z digest=sha256:203072abe0a231fb05b8eb6e30274a5d3c4948c1b80a832494023610fcd108ac

Pith citing papers

No inbound Pith citation observations are available.