AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models | Paper Citation Record

Observation 437a8071-a879-40b2-94a4-b357927457f6 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:13:02.837360Z

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Observation b7803521-163e-40d4-9ffa-3c0623ce07ba · outbound

This paper cites Foundation models defining a new era in vision: a survey and outlook.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Foundation models defining a new era in vision: a survey and outlook

Reference 2

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Observation 8286d9f7-720f-4b99-9349-4e1d4a0063a6 · outbound

This paper cites Eureka: Evaluating and Understanding Large Foundation Models.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Eureka: Evaluating and Understanding Large Foundation Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.874659Z

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Observation 08a5b9b2-fb20-4a66-9bb4-73927304f280 · outbound

This paper cites Scene text visual question answering.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Scene text visual question answering

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.033241Z

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Observation 68c006e2-0e69-42f3-909e-e0f73ecc247d · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models On the Opportunities and Risks of Foundation Models

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:13:02.890234Z

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Observation 6ce07b22-b15f-4c6d-85eb-bba5f39b38c4 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Emerging properties in self-supervised vision transformers

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.040320Z

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Observation 3999625d-bc2c-457b-adac-093c94514c8e · outbound

This paper cites Decomposing complex visual comprehension into atomic visual skills for vision language models.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Decomposing complex visual comprehension into atomic visual skills for vision language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.017518Z

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Observation 92cc5132-7175-4c94-a15a-9ce0adad6381 · outbound

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

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Sharegpt4v: Improving large multi-modal models with better captions

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.068609Z

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Observation 279d5f37-ea74-49f7-8507-b45140b68e69 · outbound

This paper cites Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.896114Z

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Observation 720ed980-043f-4937-95ef-8c99458adeaa · outbound

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

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:13:02.812538Z

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Observation 6fd232ec-337c-4e50-9796-f460cee33860 · outbound

This paper cites On Domain-Adaptive Post-Training for Multimodal Large Language Models.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models On Domain-Adaptive Post-Training for Multimodal Large Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.828424Z

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Observation dd796da5-a3e7-4af0-afcd-154ddd1da6c1 · outbound

This paper cites MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.869014Z

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Observation 348c2c32-8dab-46db-9e03-282ad73bc4f9 · outbound

This paper cites Palm: Scaling language modeling with pathways.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Palm: Scaling language modeling with pathways

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.021070Z

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Observation e04d3eea-4b88-4095-b940-aa224aff8e83 · outbound

This paper cites Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis

Reference 14

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Observation 4c968fa0-f649-4219-90fb-859a301ebe34 · outbound

This paper cites Cimpoi, S.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Cimpoi, S

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.120546Z

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Observation 114f337c-b6ee-4faf-9bbd-9834a1597742 · outbound

This paper cites Humanvlm: Foundation for human- scene vision-language model.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Humanvlm: Foundation for human- scene vision-language model

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.115722Z

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Observation 0f0ea91a-202e-4131-8681-5cf6fd4cb4dd · outbound

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

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:13:02.885253Z

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Observation 28701936-19fc-490e-a422-603c0e74bd02 · outbound

This paper cites Shape and texture recognition in large vision-language models.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Shape and texture recognition in large vision-language models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.857949Z

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Observation 4edbc07f-e1d9-452f-b859-a0d647a0a8a2 · outbound

This paper cites There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.883068Z

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Observation 14ee273e-135e-47aa-9a9f-7a009c3d6e88 · outbound

This paper cites MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.893274Z

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Observation 8f3a1ec8-383f-4a72-92bd-bacd9751eb5e · outbound

This paper cites Multimodal Autoregressive Pre-training of Large Vision Encoders.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Multimodal Autoregressive Pre-training of Large Vision Encoders

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.851822Z

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Observation c7e1e9ca-418f-4a91-ae97-22de8b9f90ac · outbound

This paper cites Blink: Multimodal large language models can see but not perceive.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Blink: Multimodal large language models can see but not perceive

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.089464Z

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Observation 6b402099-349e-4aec-86e3-ab2dafd7eae3 · outbound

This paper cites Can We Talk Models Into Seeing the World Differently?.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Can We Talk Models Into Seeing the World Differently?

Reference 23

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Observation 1349b0e5-2b4d-4536-acce-60f3a83c11c7 · outbound

This paper cites Vision meets robotics: The kitti dataset.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Vision meets robotics: The kitti dataset

Reference 24

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Observation 84c79353-0db4-4b05-8878-4e830072408b · outbound

This paper cites Battle of the backbones: A large- scale comparison of pretrained models across computer vision tasks.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Battle of the backbones: A large- scale comparison of pretrained models across computer vision tasks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.098323Z

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Observation 71a977c4-dd80-4fb7-a8ec-e2e7c1c92d02 · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Making the v in vqa matter: Elevating the role of image understanding in visual question answering

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.113924Z

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Observation dab1989f-8231-43f9-901a-70790b83010a · outbound

This paper cites Making the V in VQA matter: Elevating the role of image understanding in Visual Question Answering.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Making the V in VQA matter: Elevating the role of image understanding in Visual Question Answering

Reference 27

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Observation 761f0e06-25f8-4d87-8ab4-5b96ba627dcf · outbound

This paper cites The Llama 3 Herd of Models.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models The Llama 3 Herd of Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:13:02.808841Z

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Observation a23c15d7-6a06-4f51-919b-64c884ff4908 · outbound

This paper cites Bioclip 2: Emergent properties from scaling hierarchical contrastive learning.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Bioclip 2: Emergent properties from scaling hierarchical contrastive learning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.798927Z

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Observation 938290bf-92e8-4df5-b001-a3d7ad78e1af · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Lvis: A dataset for large vocabulary instance segmentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.047900Z

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Observation 10c56288-30be-4fef-95c6-3fbda059ac18 · outbound

This paper cites A survey on vision transformer.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models A survey on vision transformer

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.036431Z

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Observation 581289eb-d9d6-4aba-9543-f16e2f48ab58 · outbound

This paper cites RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.805685Z

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Observation 587cdc6e-f774-46de-b132-eaef90308a44 · outbound

This paper cites Parameter-efficient transfer learning for nlp.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Parameter-efficient transfer learning for nlp

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.014019Z

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Observation 12c3d566-fafb-456e-9f18-c08253b40c1e · outbound

This paper cites Drone-based object counting by spatially regularized regional proposal network.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Drone-based object counting by spatially regularized regional proposal network

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.021238Z

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Observation ec97031c-663a-4160-872b-faab2438c3e8 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Lora: Low-rank adaptation of large language models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.113477Z

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Observation f09d3e57-92b7-4da0-9496-38c4d707aeac · outbound

This paper cites A Survey on Evaluation of Multimodal Large Language Models.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models A Survey on Evaluation of Multimodal Large Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.831115Z

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Observation 2f3652a3-a196-47f5-8dfe-c0797ad7d866 · outbound

This paper cites T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.079154Z

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Observation 3b18747c-e5c2-4e08-b29d-f0194bff28b1 · outbound

This paper cites OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-27T02:04:28.324233Z

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Observation 0adf2cfe-40d1-4484-a6cd-278204a07da3 · outbound

This paper cites Position: The platonic representation hypothesis.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Position: The platonic representation hypothesis

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.105719Z

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Observation f9d7873b-8f6f-47f2-8402-09bbd1246c7f · outbound

This paper cites Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.890631Z

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Observation c088ac66-75f3-42bb-8ec2-5d2aeabd789f · outbound

This paper cites Transformers in vision: A survey.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Transformers in vision: A survey

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.056263Z

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Observation 90af026b-3dbf-4772-bc01-fbf76c449e15 · outbound

This paper cites Mllm-compbench: A comparative reasoning benchmark for multimodal llms.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Mllm-compbench: A comparative reasoning benchmark for multimodal llms

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.027988Z

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Observation d60c2d93-3d20-4f62-b0e5-6a5ccfc3a5f6 · outbound

This paper cites Finer: Investigating and enhancing fine-grained visual concept recognition in large vision language models.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Finer: Investigating and enhancing fine-grained visual concept recognition in large vision language models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.100148Z

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Observation c4205e3f-d4cf-4898-a504-05a1c8e043fc · outbound

This paper cites Segment anything.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Segment anything

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.063129Z

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Observation 2780cd61-b304-4fe8-b521-a2eb3f05ae84 · outbound

This paper cites Diagnostics- llava: A visual language model for domain-specific diagnostics of equipment.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Diagnostics- llava: A visual language model for domain-specific diagnostics of equipment

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.112116Z

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Observation 36929f7f-0e8c-4f36-93ac-32430d2e1063 · outbound

This paper cites Kylberg texture dataset v.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Kylberg texture dataset v

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.073553Z

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Observation 91724a07-6f19-46b8-862a-18de7a7caa48 · outbound

This paper cites LLMCount: Enhancing Stationary mmWave Detection with Multimodal-LLM.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models LLMCount: Enhancing Stationary mmWave Detection with Multimodal-LLM

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.815623Z

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Observation 2f785da9-4afd-42d3-9533-0324a7c94836 · outbound

This paper cites EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.783885Z

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Observation 4d6fc00e-e34a-432f-ad90-da15443ca303 · outbound

This paper cites Video crowd localization with multifocus gaussian neighborhood attention and a large-scale benchmark.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Video crowd localization with multifocus gaussian neighborhood attention and a large-scale benchmark

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.034870Z

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Observation 92e62d28-3d9d-4cbc-816d-387002fdbab4 · outbound

This paper cites Object detection in optical remote sensing images: A survey and a new benchmark.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Object detection in optical remote sensing images: A survey and a new benchmark

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.024570Z

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Observation bee65464-8792-4404-b280-dd0755252bec · outbound

This paper cites Reliable crowdsourcing and deep locality-preserving learning for un- constrained facial expression recognition.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Reliable crowdsourcing and deep locality-preserving learning for un- constrained facial expression recognition

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.084431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d4b948b0-1000-47c2-baf9-0a7d7665ae36 · outbound

This paper cites OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.865609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 78c8ddaa-47de-4843-8a1b-958b2fea1532 · outbound

This paper cites Visual Large Language Models for Generalized and Specialized Applications.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Visual Large Language Models for Generalized and Specialized Applications

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.863394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 235fe6d8-1aa0-4bd6-a9f3-78d964c14141 · outbound

This paper cites Expression analysis based on face regions in real-world conditions.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Expression analysis based on face regions in real-world conditions

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.096485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2c457a82-0bc7-4ae8-a8da-7d3184341a90 · outbound

This paper cites A comprehensive survey and guide to multimodal large language models in vision-language tasks.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models A comprehensive survey and guide to multimodal large language models in vision-language tasks

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.833937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5634bf49-ca72-46da-807e-9fb3bc46e823 · outbound

This paper cites Visual instruction tuning.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Visual instruction tuning

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.109478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eaa0e79a-a998-4364-b3c5-60d2f61f302b · outbound

This paper cites Ocrbench: on the hidden mystery of ocr in large multimodal models.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Ocrbench: on the hidden mystery of ocr in large multimodal models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.012035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 629a158d-0e98-4440-aa15-752af39e5a47 · outbound

This paper cites Cvpr 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Cvpr 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.023017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7959ce49-47a4-46f1-92a9-9abd5f30d7b4 · outbound

This paper cites The development of the cie 2000 colour-difference formula: Ciede2000.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models The development of the cie 2000 colour-difference formula: Ciede2000

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.115407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9d991c58-b310-4351-8e5e-b96c42ec8568 · outbound

This paper cites Fine-tuning is fine, if calibrated.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Fine-tuning is fine, if calibrated

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.122446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 90165c19-b3b1-419c-a4fb-96263d7bc45a · outbound

This paper cites Batch-level Experience Replay with Review for Continual Learning.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Batch-level Experience Replay with Review for Continual Learning

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.840356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bc806bbd-a42e-45c5-8bd5-0929314470f8 · outbound

This paper cites Online continual learning in image classification: An empirical survey.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Online continual learning in image classification: An empirical survey

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.069356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 63a3c159-cb68-4ac3-9f4d-fd6dc5045147 · outbound

This paper cites Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.107677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 258241d7-3370-43ee-a30f-ed82d10371bc · outbound

This paper cites Lessons and insights from a unifying study of parameter-efficient fine-tuning (peft) in visual recognition.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Lessons and insights from a unifying study of parameter-efficient fine-tuning (peft) in visual recognition

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.104107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3e61a3dc-c11f-49cd-b0f1-a526db319c9c · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Fine-Grained Visual Classification of Aircraft

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:13:02.885453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 58126c4a-9a57-4fff-acee-edffef7b7dbe · outbound

This paper cites The kth-tips2 database.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models The kth-tips2 database

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.074240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c52d5607-8014-40b7-9097-c57445bb0ab4 · outbound

This paper cites Hierarchical interpretable vision reasoning driven through a multi-modal large language model for depth estimation.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Hierarchical interpretable vision reasoning driven through a multi-modal large language model for depth estimation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.071893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c47b2d68-de1e-4a29-9b69-d2fcb5abfb89 · outbound

This paper cites Mishra, K.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Mishra, K

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.070887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 81a9079f-32f9-43b1-9692-5c1966ee7e75 · outbound

This paper cites Moments in time dataset: one million videos for event understanding.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Moments in time dataset: one million videos for event understanding

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.087860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f407c0bc-cd9f-4746-b490-ae7dfeeaf049 · outbound

This paper cites Intriguing properties of vision transformers.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Intriguing properties of vision transformers

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.091320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2bda31ff-adde-4223-ae84-e3c5287a7ff7 · outbound

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

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models DINOv2: Learning Robust Visual Features without Supervision

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:13:02.898494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2d451229-ee15-4655-8d1c-ddbf50c64bb7 · outbound

This paper cites A simple interpretable transformer for fine-grained image classification and analysis.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models A simple interpretable transformer for fine-grained image classification and analysis

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.091054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 288c74a6-29f8-467e-bbfc-8561dc9f974f · outbound

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

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Learning transferable visual models from natural language supervision

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.031518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c5a373b1-63b1-49f8-8f15-9c4fe9ceb839 · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.045654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61e4a709-cd34-4325-abbb-3a485ace0b03 · outbound

This paper cites Learning to count everything.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Learning to count everything

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.070155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ee6569a7-5989-4dbb-8918-d7ea671eb1f5 · outbound

This paper cites Am-radio: Agglomerative vision foundation model reduce all domains into one.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Am-radio: Agglomerative vision foundation model reduce all domains into one

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.094691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0eb6ed2e-cad1-428b-ba80-9e926668f3ba · outbound

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

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Generalized intersection over union: A metric and a loss for bounding box regression

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.054686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 529d4ca2-5bc1-4922-8da1-c1ca9a9287dd · outbound

This paper cites Object detection with multimodal large vision-language models: An in-depth review.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Object detection with multimodal large vision-language models: An in-depth review

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.033473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0e2a7e22-46de-41bf-8050-c79d6cd5a24d · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Objects365: A large-scale, high-quality dataset for object detection

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.022768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5fc250af-a27a-4e9c-aa01-363cd7d71db9 · outbound

This paper cites Online class- incremental continual learning with adversarial shapley value.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Online class- incremental continual learning with adversarial shapley value

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.100342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a837bc62-ca33-4516-92ff-35b87f2b68ec · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Indoor segmentation and support inference from rgbd images

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.001857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bac7d0bb-d7cf-4d9a-91cd-326c1898d884 · outbound

This paper cites Multi-modal large language models are effective vision learners.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Multi-modal large language models are effective vision learners

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.045962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a4c18339-ab8b-43aa-830f-6c9bcba4d52a · outbound

This paper cites Grounding multimodal large language models in actions.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Grounding multimodal large language models in actions

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.119018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d36839aa-c845-46ea-a942-ba82fe55cdfc · outbound

This paper cites Temel, J.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Temel, J

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.041863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f88cff89-3b75-46f4-8f65-0845fa473fc7 · outbound

This paper cites Kth-tips dataset.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Kth-tips dataset

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.042244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dc319ec0-c93b-4a95-9bd0-8a77737afcc8 · outbound

This paper cites Semantic segmentation using vision transformers: A survey.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Semantic segmentation using vision transformers: A survey

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.026231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation df647130-248f-4f48-8cac-d6ddab8075af · outbound

This paper cites Cambrian-1: A fully open, vision-centric exploration of multimodal llms.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Cambrian-1: A fully open, vision-centric exploration of multimodal llms

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.111846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ac95146e-21d8-4074-b945-b0c5c5d71d14 · outbound

This paper cites Eyes wide shut? exploring the visual shortcomings of multimodal llms.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Eyes wide shut? exploring the visual shortcomings of multimodal llms

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:02.991510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d3ed9224-d83b-4860-9309-d5ac4fec49e8 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:13:02.844036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 334a8d07-268e-4315-b5cc-672a93d8d441 · outbound

This paper cites Holistic transfer: Towards non-disruptive fine-tuning with partial target data.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Holistic transfer: Towards non-disruptive fine-tuning with partial target data

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.101869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 96ca5726-1e9e-46b6-a194-c8a2ec7c782b · outbound

This paper cites Visual query tuning: Towards effective usage of intermediate representations for parameter and memory efficient transfer learning.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Visual query tuning: Towards effective usage of intermediate representations for parameter and memory efficient transfer learning

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.051304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e962a679-52ab-4177-a821-94f2673b8beb · outbound

This paper cites Benchmarking representation learning for natural world image collections.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Benchmarking representation learning for natural world image collections

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.092775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2c669783-fe6d-4e56-ba56-abe50041330b · outbound

This paper cites COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:13:02.871922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 12569ffd-69b6-444f-a391-b50780b989e7 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models The caltech-ucsd birds-200-2011 dataset

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.054934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 28a70ba5-ed18-4be6-b4e3-910923c938c0 · outbound

This paper cites Harnessing multi-modal large language models for measuring and interpreting color differences.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Harnessing multi-modal large language models for measuring and interpreting color differences

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.096667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3cad97b3-0415-4738-a46f-b2c110d9613b · outbound

This paper cites Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence

Reference 96

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:13:02.859921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d5c2b3b6-725a-4bcb-b5d1-1a95e099416d · outbound

This paper cites Visionllm v2: An end-to-end generalist multimodal large language model for hundreds of vision-language tasks.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Visionllm v2: An end-to-end generalist multimodal large language model for hundreds of vision-language tasks

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.076991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ff3c0eb4-d383-4fb5-86d5-06f5b357602a · outbound

This paper cites Multimodal large language models: A survey.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Multimodal large language models: A survey

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T11:13:03.094882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8a9d4413-ca5d-4590-968c-e60a853897f6 · outbound

This paper cites Visual Compositional Tuning.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models Visual Compositional Tuning

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:00:19.480510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61dff8f3-c356-46eb-9b8e-a662c59e2651 · outbound

This paper cites ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty.

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:13:02.865956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers