Paper Citation Record · LEDGER

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding

As of 22 August 2026, this Paper Citation Record lists 100 of 119 outbound references and 4 inbound Pith citation observations for arXiv:2501.07783.

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

pith.paper-citation-record.v1
2501.07783 v1

Coverage vector

measured 100 of 119 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:39:35.669077Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:46:59.953404Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:50:09.964594Z

Reference resolution

100 of 119 outbound references displayed

verified exact1
verified fuzzy25
unresolved74
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7e8f682-f319-42d2-95b5-c4564048b26b · outbound

This paper cites Parameter-inverted image pyramid networks,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Parameter-inverted image pyramid networks,

Reference 1

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Observation 029c8cdf-2149-4570-924d-c41da79d3ae9 · outbound

This paper cites Training data-efficient image transformers & distillation through attention,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Training data-efficient image transformers & distillation through attention,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:35.233258Z

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Observation e78e1773-0c99-429b-8ab5-2bd92524d524 · outbound

This paper cites Deit iii: Revenge of the vit,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Deit iii: Revenge of the vit,

Reference 3

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Observation e5243b14-c4b2-4cf9-929b-7b1f841bd6d8 · outbound

This paper cites How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:35.243205Z

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Observation c475c6dd-c813-4c94-9dac-e74c39c3f33d · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Learning transferable visual models from natural language supervision,

Reference 5

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Observation 256ba91d-8ad1-461a-be28-07649b1cf307 · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Cascade r-cnn: Delving into high quality object detection,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:35.252463Z

Source-reported events for the cited work

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Observation 1ca56dbb-42ee-4cb8-ad19-19922f0a2a5e · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Deformable detr: Deformable transformers for end-to-end object detection,

Reference 7

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Observation c5df4f9e-0507-49fe-b22a-b0ffeed51125 · outbound

This paper cites Scrdet: Towards more robust detection for small, cluttered and rotated objects,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Scrdet: Towards more robust detection for small, cluttered and rotated objects,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:35.260922Z

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Observation 940c0986-541e-477e-af35-7b8f080cc418 · outbound

This paper cites R3det: Refined single-stage detector with feature refinement for rotating object,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding R3det: Refined single-stage detector with feature refinement for rotating object,

Reference 9

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Observation cfe9cb20-e890-4986-90d2-b6208b5e34d3 · outbound

This paper cites Mask r-cnn,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Mask r-cnn,

Reference 10

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Observation 320083c9-d497-415a-907f-3d4b6129fc59 · outbound

This paper cites Unified perceptual parsing for scene understanding,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Unified perceptual parsing for scene understanding,

Reference 11

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Observation ef282b32-b5fb-41ed-aa6b-3184d4faccff · outbound

This paper cites Patchdct: Patch refinement for high quality instance segmentation,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Patchdct: Patch refinement for high quality instance segmentation,

Reference 12

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Observation f12696d0-e72b-4505-8a32-76d3c7d017c1 · outbound

This paper cites Sniper: Efficient multi-scale training,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Sniper: Efficient multi-scale training,

Reference 13

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Observation 81c7d120-2dbf-4aa1-ad1e-27f405b90cfd · outbound

This paper cites Autofocus: Efficient multi-scale inference,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Autofocus: Efficient multi-scale inference,

Reference 14

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Observation 5cf6fed6-8eeb-4277-8896-1da576c87ae4 · outbound

This paper cites Feature pyramid networks for object detection,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Feature pyramid networks for object detection,

Reference 15

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Observation 6f67304e-2c60-4c9b-9eb8-b275c878c472 · outbound

This paper cites Nas-fpn: Learning scalable feature pyramid architecture for object detection,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Nas-fpn: Learning scalable feature pyramid architecture for object detection,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:35.294672Z

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Observation b2980713-7bec-4f24-8a78-af591550901d · outbound

This paper cites Efficientdet: Scalable and efficient object detection,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Efficientdet: Scalable and efficient object detection,

Reference 17

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Observation e47daed9-0496-4245-889c-0072d5d332c6 · outbound

This paper cites Internimage: Exploring large-scale vision foundation models with deformable convolutions,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Internimage: Exploring large-scale vision foundation models with deformable convolutions,

Reference 18

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Observation 169c9456-e0ce-45bd-a9a7-7ec2d60d0ae9 · outbound

This paper cites Eva: Exploring the limits of masked visual representation learning at scale,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Eva: Exploring the limits of masked visual representation learning at scale,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:35.306659Z

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Observation 23830b55-6131-4881-bb02-921b41f0f346 · outbound

This paper cites Detrs with collaborative hybrid assignments training,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Detrs with collaborative hybrid assignments training,

Reference 20

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Observation 0da3636d-2b38-4d2b-952e-6a1d7c820a27 · outbound

This paper cites Vision transformer adapter for dense predictions,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Vision transformer adapter for dense predictions,

Reference 21

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Observation 16a8cf13-fedf-4606-9f05-4532c4c2ce0f · outbound

This paper cites Microsoft coco: Common objects in context,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Microsoft coco: Common objects in context,

Reference 22

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Observation 3a0ce5a6-1d29-496a-b2b9-39a12dc01dd9 · outbound

This paper cites The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

Reference 23

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Observation c7068d50-913f-4c8e-b238-28308cd59340 · outbound

This paper cites Improved baselines with visual instruction tuning,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Improved baselines with visual instruction tuning,

Reference 24

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Observation f9a996a6-a0ac-4fc7-b081-ac19495c1656 · outbound

This paper cites Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training

Reference 25

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Observation f56fa86e-db31-4618-a2a3-65e0feffd7b9 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 26

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Observation a419daf5-a1ba-43ff-81be-775195a155d6 · outbound

This paper cites Sparkle: Mastering basic spatial capabilities in vision language models elicits generalization to composite spatial reasoning,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Sparkle: Mastering basic spatial capabilities in vision language models elicits generalization to composite spatial reasoning,

Reference 27

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Observation 3ca48a23-2f3c-4c8d-8017-3912c28b8f2c · outbound

This paper cites $\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding $\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models

Reference 28

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Observation 60684f37-4c40-42f8-9d86-0485d009adff · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 29

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Observation 888e426a-573f-4d9e-8849-bf9d040fcaf9 · outbound

This paper cites Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 30

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Observation 7d708c53-5c60-483c-9dd3-5262ce2f297f · outbound

This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 31

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Observation 5a3c5f21-5511-499c-9425-12092afbb2cf · outbound

This paper cites MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning

Reference 32

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This paper cites Llava-next: Stronger llms supercharge multimodal capabilities in the wild,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Llava-next: Stronger llms supercharge multimodal capabilities in the wild,

Reference 33

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Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Llava-uhd: an lmm perceiving any aspect ratio and high-resolution images,

Reference 34

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This paper cites LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer

Reference 35

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Observation fc2bafc9-bc71-45f4-8c11-87fd6d268878 · outbound

This paper cites Unveiling encoder-free vision-language models,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Unveiling encoder-free vision-language models,

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This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding An image is worth 16x16 words: Transformers for image recognition at scale,

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This paper cites A convnet for the 2020s,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding A convnet for the 2020s,

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Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,

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This paper cites Scene parsing through ade20k dataset,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Scene parsing through ade20k dataset,

Reference 40

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This paper cites An analysis of scale invariance in object detection snip,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding An analysis of scale invariance in object detection snip,

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This paper cites Crossvit: Cross-attention multi- scale vision transformer for image classification,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Crossvit: Cross-attention multi- scale vision transformer for image classification,

Reference 42

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Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Deep high-resolution representation learning for visual recognition,

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This paper cites Cbnet: A composite backbone network architecture for object detection,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Cbnet: A composite backbone network architecture for object detection,

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This paper cites Vit-comer: Vision transformer with convolutional multi-scale feature interaction for dense predictions,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Vit-comer: Vision transformer with convolutional multi-scale feature interaction for dense predictions,

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Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Hrformer: High-resolution vision transformer for dense prediction,

Reference 46

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Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

Reference 47

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Observation 03960af4-c56f-416d-8e62-9fa561179df5 · outbound

This paper cites CogAgent: A Visual Language Model for GUI Agents.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding CogAgent: A Visual Language Model for GUI Agents

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This paper cites GPT-4 Technical Report.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding GPT-4 Technical Report

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This paper cites The claude 3 model family: Opus, sonnet, haiku,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding The claude 3 model family: Opus, sonnet, haiku,

Reference 50

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This paper cites InternLM2 Technical Report.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding InternLM2 Technical Report

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Observation 0a0dc1a9-d7d6-4be0-8ce6-4515995133ee · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Gemini: A Family of Highly Capable Multimodal Models

Reference 52

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Observation 162c2ddd-af01-4734-92d3-f22ad3b34f0c · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Emu3: Next-Token Prediction is All You Need

Reference 53

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Observation 853fab78-30c7-40f5-af36-9aec3406c865 · outbound

This paper cites SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding

Reference 54

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Observation e7f2eaf5-f397-45dd-884e-7365d0cdd142 · outbound

This paper cites Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:35.470582Z

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Observation 066c389f-2024-47b9-9c5d-29ad544e20e9 · outbound

This paper cites MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer

Reference 56

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Observation e600f1ea-3796-4743-af71-30635ca88f4f · outbound

This paper cites VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation

Reference 57

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Observation 3e6176a0-382c-4d2b-bac5-d6f9e47c5455 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 58

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Observation 5d2659a4-f25a-436b-a142-ff1f94ad2f2b · outbound

This paper cites Dynamicvit: Efficient vision transformers with dynamic token sparsification,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Dynamicvit: Efficient vision transformers with dynamic token sparsification,

Reference 59

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Observation 8f51329b-0577-4bb7-8585-bc5fbf01e61d · outbound

This paper cites Adavit: Adaptive vision transformers for efficient image recognition,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Adavit: Adaptive vision transformers for efficient image recognition,

Reference 60

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Observation 09d1fe35-7876-4bca-9900-7157d577401c · outbound

This paper cites Not all patches are what you need: Expediting vision transformers via token reorganizations,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Not all patches are what you need: Expediting vision transformers via token reorganizations,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:35.496759Z

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Observation 5dd8a7bc-8f91-4813-9938-14695b57bfcf · outbound

This paper cites Evo-vit: Slow-fast token evolution for dynamic vision transformer,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Evo-vit: Slow-fast token evolution for dynamic vision transformer,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:37.190403Z

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Observation ff3aefb7-882c-4ed3-a197-218ab5076def · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Linformer: Self-Attention with Linear Complexity

Reference 63

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Observation f7804fe2-caa6-4418-8670-02027e83e692 · outbound

This paper cites Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:37.176392Z

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Observation 8c2fef07-2c6f-48b6-b5cd-8b48f81cec9a · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:37.163579Z

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Observation 736759cb-f5e7-478a-8124-84fa5a0fd60f · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:37.149677Z

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Observation 7d2283ec-96e3-40be-a04f-cc09ba18c725 · outbound

This paper cites Layer Normalization.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Layer Normalization

Reference 67

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Observation fa03723a-893b-4f90-a7c9-97150cea905c · outbound

This paper cites Exploring plain vision transformer backbones for object detection,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Exploring plain vision transformer backbones for object detection,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:37.135798Z

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Observation dde65495-e56a-4c9d-a18d-2de038f7ee3e · outbound

This paper cites Group normalization,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Group normalization,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:37.117546Z

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Observation 3755918b-1af8-4c06-8d6c-fca6d6d054e2 · outbound

This paper cites Visual instruction tuning,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Visual instruction tuning,

Reference 70

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Observation b94bd380-387a-40b5-a2b9-53cf1c373a7b · outbound

This paper cites AutoAugment: Learning Augmentation Policies from Data.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding AutoAugment: Learning Augmentation Policies from Data

Reference 71

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Observation aec7fc9d-356d-447b-897a-d1fd448a8163 · outbound

This paper cites Benchmarking Detection Transfer Learning with Vision Transformers.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Benchmarking Detection Transfer Learning with Vision Transformers

Reference 72

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Observation c41814c5-6437-4706-8f4a-59d572ad3960 · outbound

This paper cites Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:35.546574Z

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Observation 14c89420-fca5-416a-99ad-6a802aea0d96 · outbound

This paper cites Scaling up your kernels to 31x31: Revisiting large kernel design in cnns,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Scaling up your kernels to 31x31: Revisiting large kernel design in cnns,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:37.088762Z

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Observation 9b3df187-a2b4-45db-9cdb-184d048791b0 · outbound

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

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Imagenet: A large-scale hierarchical image database,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:37.065572Z

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Observation 27f28aab-b875-470c-8215-ab72ebb7a3f3 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Masked autoencoders are scalable vision learners,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:37.047194Z

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Observation 3ff4d424-951c-4b1e-912f-52158cbb93ff · outbound

This paper cites Decoupled weight decay regularization,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Decoupled weight decay regularization,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:37.030384Z

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Observation 72a95629-4c8e-43ca-8ed5-6d0b59a3b28f · outbound

This paper cites Beit: Bert pre-training of image transformers,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Beit: Bert pre-training of image transformers,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:37.015591Z

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Observation 851a0a9e-90e8-420b-8abb-94dd9213e39a · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Laion-5b: An open large-scale dataset for training next generation image-text models,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:36.999968Z

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Observation a636aa6d-774e-4008-9ac7-de84b5462f71 · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 80

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Observation 6b712daf-9a19-4e73-8628-2b8f624e7e83 · outbound

This paper cites Uni- perceiver: Pre-training unified architecture for generic perception for zero-shot and few-shot tasks,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Uni- perceiver: Pre-training unified architecture for generic perception for zero-shot and few-shot tasks,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:36.983731Z

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Observation 9dbf7394-ff04-4446-9e5a-24ae2f02268d · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding DINOv2: Learning Robust Visual Features without Supervision

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:35.586115Z

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Observation b2ab7337-a888-4a7f-b038-083a8b1d7003 · outbound

This paper cites BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

Reference 83

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Observation addd6608-da4a-41e7-a8d2-d48f537aabb5 · outbound

This paper cites More convnets in the 2020s: Scaling up kernels beyond 51x51 using sparsity,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding More convnets in the 2020s: Scaling up kernels beyond 51x51 using sparsity,

Reference 84

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Observation 13d8b986-7f58-4761-8e22-d3d542002b64 · outbound

This paper cites Dino: Detr with improved denoising anchor boxes for end-to-end object detection,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Dino: Detr with improved denoising anchor boxes for end-to-end object detection,

Reference 85

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Observation d9cc708b-af9e-459d-8eb7-fa196434a50c · outbound

This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Instructblip: Towards general-purpose vision-language models with instruction tuning,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:36.927844Z

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Observation 60f2bb9d-162d-4615-a534-936e022368d9 · outbound

This paper cites BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:36.912236Z

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Observation dc8c22e9-d5b5-4603-8f06-c712c2941f6f · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 88

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Observation b517905a-ce01-43ed-ac12-fbc4ebf740d5 · outbound

This paper cites mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:36.898017Z

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Observation 2cbadcd9-caee-4e34-9511-f6bea7f32226 · outbound

This paper cites SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Reference 90

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Observation 06e0b997-010a-4be1-bb5a-16b4b227a6d5 · outbound

This paper cites Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:35.628119Z

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Observation 8281498a-dce9-4af3-8a88-137af24558f8 · outbound

This paper cites InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

Reference 92

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Observation bc08064d-b88b-4533-9d7e-c73d409d769b · outbound

This paper cites Mm1: methods, analysis and insights from multimodal llm pre-training,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Mm1: methods, analysis and insights from multimodal llm pre-training,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:36.884692Z

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Observation 0fdd2be2-99ab-491a-ad97-bcdd3b92cbdb · outbound

This paper cites MMSegmentation: Openmmlab semantic seg- mentation toolbox and benchmark,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding MMSegmentation: Openmmlab semantic seg- mentation toolbox and benchmark,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-10T20:39:35.642191Z

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Observation 5be28d97-aa78-46cb-8742-a1db127e3ec2 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:36.858551Z

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Observation 4a779076-0fac-4efd-b4d1-dca22efd6942 · outbound

This paper cites Sharegpt4v: Improving large multi-modal models with better captions,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Sharegpt4v: Improving large multi-modal models with better captions,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:36.842153Z

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Observation 24677da9-dfd0-4eeb-89f3-cba5a1b268de · outbound

This paper cites Laion-gpt-4v,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Laion-gpt-4v,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:36.827460Z

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Observation c6799925-9d93-44ef-b7fa-94346482bdf2 · outbound

This paper cites ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models

Reference 98

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Observation 31014970-ffc0-45f5-8e80-b5be2a30ed3a · outbound

This paper cites Lima: Less is more for alignment,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Lima: Less is more for alignment,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:36.812661Z

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Observation fd6363c0-240e-4139-be3e-a9cb40c143f1 · outbound

This paper cites Openassistant conversations-democratizing large language model align- ment,.

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding Openassistant conversations-democratizing large language model align- ment,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:39:36.798170Z

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Pith citing papers

Observation 1e9e7224-d411-4b1a-953c-d69e251da7cd · inbound

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer cites this paper.

LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:59.953404Z

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Observation fbd66841-47d1-4c4f-9ab3-d5ed719acaa5 · inbound

From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models cites this paper.

From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:36.348501Z

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Observation 3b412e13-b0c9-482f-9f09-a2dae75db265 · inbound

Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models cites this paper.

Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:33.338434Z

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Observation cc75399e-c724-46e9-8338-dbd706c97401 · inbound

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models cites this paper.

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:50:10.051759Z

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