Improving Accuracy and Generalization for Efficient Visual Tracking | Paper Citation Record

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This paper cites https://github.com/got- 10k/ toolkit.

Improving Accuracy and Generalization for Efficient Visual Tracking https://github.com/got- 10k/ toolkit

Reference 1

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Observation 22b85741-ab30-4504-ace2-743882e38140 · outbound

This paper cites Evaluation of Test-Time Adaptation Under Computational Time Constraints.

Improving Accuracy and Generalization for Efficient Visual Tracking Evaluation of Test-Time Adaptation Under Computational Time Constraints

Reference 2

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Observation ec10e845-74e8-4e10-b9bd-5b404265a3a3 · outbound

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

Improving Accuracy and Generalization for Efficient Visual Tracking Fully-convolutional siamese networks for object tracking

Reference 3

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Observation c057a5e2-01c2-46ab-ba74-d4a1cbf88f47 · outbound

This paper cites Learning discriminative model prediction for track- ing.

Improving Accuracy and Generalization for Efficient Visual Tracking Learning discriminative model prediction for track- ing

Reference 4

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Observation ec85dc72-2eca-45c7-a62e-4a2a4b282a6c · outbound

This paper cites Efficient visual tracking with exemplar trans- formers.

Improving Accuracy and Generalization for Efficient Visual Tracking Efficient visual tracking with exemplar trans- formers

Reference 5

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Observation 50fb92af-6e5d-416b-91f0-b7510e03e37e · outbound

This paper cites Fear: Fast, efficient, accu- rate and robust visual tracker.

Improving Accuracy and Generalization for Efficient Visual Tracking Fear: Fast, efficient, accu- rate and robust visual tracker

Reference 6

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Observation 7a7dc021-1497-41d7-b243-a7c2806ac58c · outbound

This paper cites Exploring simple siamese rep- resentation learning.

Improving Accuracy and Generalization for Efficient Visual Tracking Exploring simple siamese rep- resentation learning

Reference 7

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Observation 6a2665aa-7e84-404d-a28a-1422a9396ffe · outbound

This paper cites Efficient visual tracking via hierarchical cross- attention transformer.

Improving Accuracy and Generalization for Efficient Visual Tracking Efficient visual tracking via hierarchical cross- attention transformer

Reference 8

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Observation ba2ce509-6abe-47d4-b175-6ff984dac96c · outbound

This paper cites Seqtrack: Sequence to sequence learning for visual ob- ject tracking.

Improving Accuracy and Generalization for Efficient Visual Tracking Seqtrack: Sequence to sequence learning for visual ob- ject tracking

Reference 9

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Observation e50095c2-2bff-44f5-8cfe-85297aef1843 · outbound

This paper cites Transformer tracking.

Improving Accuracy and Generalization for Efficient Visual Tracking Transformer tracking

Reference 10

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Observation d9355573-78c2-4545-87e9-9c805ac78898 · outbound

This paper cites Siamese box adaptive network for visual tracking.

Improving Accuracy and Generalization for Efficient Visual Tracking Siamese box adaptive network for visual tracking

Reference 11

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Observation eea6748e-e4dc-4351-aff2-541511b84504 · outbound

This paper cites Mixformerv2: Efficient fully transformer tracking.Advances in Neural Information Processing Systems, 36, 2024.

Improving Accuracy and Generalization for Efficient Visual Tracking Mixformerv2: Efficient fully transformer tracking.Advances in Neural Information Processing Systems, 36, 2024

Reference 12

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Observation 6d753dd8-073c-48bf-a7b5-677f64656eb3 · outbound

This paper cites Atom: Accurate tracking by overlap max- imization.

Improving Accuracy and Generalization for Efficient Visual Tracking Atom: Accurate tracking by overlap max- imization

Reference 13

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Observation b419ef9d-1194-41d0-9cfa-295fe4251af6 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Improving Accuracy and Generalization for Efficient Visual Tracking Imagenet: A large-scale hierarchical image database

Reference 14

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Observation c98decc5-f1cf-40d6-97b0-5ad25ade189e · outbound

This paper cites Lasot: A high-quality large-scale single object track- ing benchmark.

Improving Accuracy and Generalization for Efficient Visual Tracking Lasot: A high-quality large-scale single object track- ing benchmark

Reference 15

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Observation 2304a238-1177-44a5-98b6-55cfd2b6e5c4 · outbound

This paper cites Dual attention network for scene seg- mentation.

Improving Accuracy and Generalization for Efficient Visual Tracking Dual attention network for scene seg- mentation

Reference 16

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This paper cites Aiatrack: Attention in attention for trans- former visual tracking.

Improving Accuracy and Generalization for Efficient Visual Tracking Aiatrack: Attention in attention for trans- former visual tracking

Reference 17

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Observation a8ece105-2061-44b9-83ba-ca3b381a11f5 · outbound

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

Improving Accuracy and Generalization for Efficient Visual Tracking Separable self and mixed attention transformers for efficient object track- ing

Reference 18

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Observation 9e694356-9fc4-4b48-8f3a-618a3a2e25ff · outbound

This paper cites Target-Aware Tracking with Long-term Context Attention.

Improving Accuracy and Generalization for Efficient Visual Tracking Target-Aware Tracking with Long-term Context Attention

Reference 19

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Observation 685e844a-fd43-4e92-a5d5-97d254faeb48 · outbound

This paper cites Deep residual learning for image recognition.

Improving Accuracy and Generalization for Efficient Visual Tracking Deep residual learning for image recognition

Reference 20

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This paper cites Learning to track at 100 fps with deep regression networks.

Improving Accuracy and Generalization for Efficient Visual Tracking Learning to track at 100 fps with deep regression networks

Reference 21

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This paper cites Got-10k: A large high-diversity benchmark for generic object tracking in the wild.

Improving Accuracy and Generalization for Efficient Visual Tracking Got-10k: A large high-diversity benchmark for generic object tracking in the wild

Reference 22

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This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

Improving Accuracy and Generalization for Efficient Visual Tracking SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 23

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Observation e9459df0-bce5-46ff-adc0-45837bde2d1c · outbound

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

Improving Accuracy and Generalization for Efficient Visual Tracking Exploring lightweight hierarchical vision transformers for efficient visual tracking

Reference 24

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This paper cites Need for speed: A benchmark for higher frame rate object tracking.

Improving Accuracy and Generalization for Efficient Visual Tracking Need for speed: A benchmark for higher frame rate object tracking

Reference 25

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This paper cites Adam: A Method for Stochastic Optimization.

Improving Accuracy and Generalization for Efficient Visual Tracking Adam: A Method for Stochastic Optimization

Reference 26

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This paper cites Siamese neural networks for one-shot image recognition.

Improving Accuracy and Generalization for Efficient Visual Tracking Siamese neural networks for one-shot image recognition

Reference 27

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This paper cites The eighth visual object tracking vot2020 chal- lenge results.

Improving Accuracy and Generalization for Efficient Visual Tracking The eighth visual object tracking vot2020 chal- lenge results

Reference 28

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

Improving Accuracy and Generalization for Efficient Visual Tracking Siamrpn++: Evolution of siamese vi- sual tracking with very deep networks

Reference 29

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

Improving Accuracy and Generalization for Efficient Visual Tracking High performance visual tracking with siamese region pro- posal network

Reference 30

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This paper cites Visual object tracking for un- manned aerial vehicles: A benchmark and new motion mod- els.

Improving Accuracy and Generalization for Efficient Visual Tracking Visual object tracking for un- manned aerial vehicles: A benchmark and new motion mod- els

Reference 31

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This paper cites An Informative Tracking Benchmark.

Improving Accuracy and Generalization for Efficient Visual Tracking An Informative Tracking Benchmark

Reference 32

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This paper cites Revisiting Batch Normalization For Practical Domain Adaptation.

Improving Accuracy and Generalization for Efficient Visual Tracking Revisiting Batch Normalization For Practical Domain Adaptation

Reference 33

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This paper cites Encoding color information for visual tracking: Algorithms and bench- mark.

Improving Accuracy and Generalization for Efficient Visual Tracking Encoding color information for visual tracking: Algorithms and bench- mark

Reference 34

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This paper cites Focal loss for dense object detection.

Improving Accuracy and Generalization for Efficient Visual Tracking Focal loss for dense object detection

Reference 35

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This paper cites Microsoft coco: Common objects in context.

Improving Accuracy and Generalization for Efficient Visual Tracking Microsoft coco: Common objects in context

Reference 36

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Improving Accuracy and Generalization for Efficient Visual Tracking Polarized Self-Attention: Towards High-quality Pixel-wise Regression

Reference 37

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This paper cites Transforming model prediction for tracking.

Improving Accuracy and Generalization for Efficient Visual Tracking Transforming model prediction for tracking

Reference 38

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This paper cites Separable Self-attention for Mobile Vision Transformers.

Improving Accuracy and Generalization for Efficient Visual Tracking Separable Self-attention for Mobile Vision Transformers

Reference 39

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Improving Accuracy and Generalization for Efficient Visual Tracking Siamese network features for image matching

Reference 40

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This paper cites The norm must go on: Dynamic unsuper- vised domain adaptation by normalization.

Improving Accuracy and Generalization for Efficient Visual Tracking The norm must go on: Dynamic unsuper- vised domain adaptation by normalization

Reference 41

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This paper cites A benchmark and simulator for uav tracking.

Improving Accuracy and Generalization for Efficient Visual Tracking A benchmark and simulator for uav tracking

Reference 42

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Observation 9f5175d7-1c97-48b2-8a2a-7eca599d6f2d · outbound

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

Improving Accuracy and Generalization for Efficient Visual Tracking Trackingnet: A large-scale dataset and benchmark for object tracking in the wild

Reference 43

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This paper cites Efficient test-time model adaptation without forgetting.

Improving Accuracy and Generalization for Efficient Visual Tracking Efficient test-time model adaptation without forgetting

Reference 44

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

Improving Accuracy and Generalization for Efficient Visual Tracking AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility

Reference 45

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This paper cites Two at once: Enhancing learning and generalization capacities via ibn-net.

Improving Accuracy and Generalization for Efficient Visual Tracking Two at once: Enhancing learning and generalization capacities via ibn-net

Reference 46

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Improving Accuracy and Generalization for Efficient Visual Tracking Pytorch: An im- perative style, high-performance deep learning library

Reference 47

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This paper cites Generalized in- tersection over union: A metric and a loss for bounding box regression.

Improving Accuracy and Generalization for Efficient Visual Tracking Generalized in- tersection over union: A metric and a loss for bounding box regression

Reference 48

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This paper cites Improving robustness against common corruptions by covariate shift adaptation.

Improving Accuracy and Generalization for Efficient Visual Tracking Improving robustness against common corruptions by covariate shift adaptation

Reference 49

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This paper cites Attention is all you need.

Improving Accuracy and Generalization for Efficient Visual Tracking Attention is all you need

Reference 50

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This paper cites MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features.

Improving Accuracy and Generalization for Efficient Visual Tracking MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features

Reference 51

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This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.

Improving Accuracy and Generalization for Efficient Visual Tracking Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 52

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This paper cites Continual test-time domain adaptation.

Improving Accuracy and Generalization for Efficient Visual Tracking Continual test-time domain adaptation

Reference 53

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This paper cites Fast online object tracking and segmentation: A unifying approach.

Improving Accuracy and Generalization for Efficient Visual Tracking Fast online object tracking and segmentation: A unifying approach

Reference 54

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Observation a28542ba-8e09-415f-8ce5-3fa57a3529b2 · outbound

This paper cites Autoregressive visual tracking.

Improving Accuracy and Generalization for Efficient Visual Tracking Autoregressive visual tracking

Reference 55

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Observation 1a075be3-06d5-450f-a1de-1e671b09850f · outbound

This paper cites Cbam: Convolutional block attention module.

Improving Accuracy and Generalization for Efficient Visual Tracking Cbam: Convolutional block attention module

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:19.439760Z

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Observation 94abe46e-b44b-4cdb-b229-6ef4978494dc · outbound

This paper cites Fbnet: Hardware-aware efficient con- vnet design via differentiable neural architecture search.

Improving Accuracy and Generalization for Efficient Visual Tracking Fbnet: Hardware-aware efficient con- vnet design via differentiable neural architecture search

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:19.429943Z

Source-reported events for the cited work

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Observation a06702ff-6b7c-480c-a50c-fffd667edc1d · outbound

This paper cites Dropmae: Masked autoen- coders with spatial-attention dropout for tracking tasks.

Improving Accuracy and Generalization for Efficient Visual Tracking Dropmae: Masked autoen- coders with spatial-attention dropout for tracking tasks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:19.419996Z

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Observation 4a058533-5c41-44be-95b0-c1378ca0d25a · outbound

This paper cites Object track- ing benchmark.

Improving Accuracy and Generalization for Efficient Visual Tracking Object track- ing benchmark

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:19.408853Z

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Observation 9aeec4de-6060-4657-b567-cb6845238b75 · outbound

This paper cites Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines.

Improving Accuracy and Generalization for Efficient Visual Tracking Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:19.398626Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65ef33d9-7c9e-4150-892e-18eb4c1e781f · outbound

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

Improving Accuracy and Generalization for Efficient Visual Tracking Learning spatio-temporal transformer for vi- sual tracking

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:19.387023Z

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Observation 8847274c-7caf-47ee-84f8-8c4dd2200623 · outbound

This paper cites Lighttrack: Finding lightweight neural net- works for object tracking via one-shot architecture search.

Improving Accuracy and Generalization for Efficient Visual Tracking Lighttrack: Finding lightweight neural net- works for object tracking via one-shot architecture search

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:19.375404Z

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Observation 7e2223c1-4cc2-403c-9400-d554b52b1626 · outbound

This paper cites Siamatt: Siamese attention network for visual tracking.

Improving Accuracy and Generalization for Efficient Visual Tracking Siamatt: Siamese attention network for visual tracking

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:19.364261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5fe9a57f-a166-49ec-8937-0e127f0f761f · outbound

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

Improving Accuracy and Generalization for Efficient Visual Tracking Joint feature learning and relation modeling for tracking: A one-stream framework

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:19.353537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18a86ada-fc34-44ed-b4f2-29fafe590282 · outbound

This paper cites Deformable siamese attention networks for visual ob- ject tracking.

Improving Accuracy and Generalization for Efficient Visual Tracking Deformable siamese attention networks for visual ob- ject tracking

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:19.342869Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec76ee5e-0beb-4f6e-8d61-8935faf466a4 · outbound

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

Improving Accuracy and Generalization for Efficient Visual Tracking Ocean: Object-aware anchor-free tracking

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:19.332450Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 988fc291-0c39-4037-802d-10c73733a78c · outbound

This paper cites Distractor-aware siamese networks for visual object tracking.

Improving Accuracy and Generalization for Efficient Visual Tracking Distractor-aware siamese networks for visual object tracking

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:19.321732Z

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