Papers with Code 아카이브

Visual Question Answering

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전체 기법전체 데이터셋

하위 태스크

5

평가표

30

보존된 평가 기록

334

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/elviswxy/LVLM_fairness

공식 코드

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts

https://github.com/emanuelevivoli/awesome-comics-understanding

공식 코드

One missing piece in Vision and Language: A Survey on Comics Understanding

https://github.com/embedded-robotics/path-rag

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Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering

https://github.com/embodiedcity/embodied-r.code

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Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

https://github.com/endernewton/tf-faster-rcnn

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Spatial Memory for Context Reasoning in Object Detection

https://github.com/ensec-ai/vlm-uncertainty-bench

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Uncertainty-Aware Evaluation for Vision-Language Models

https://github.com/eric-ai-lab/probmed

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Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA

https://github.com/ermongroup/teochat

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TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

https://github.com/erobic/bias-mitigators

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Are Bias Mitigation Techniques for Deep Learning Effective?

https://github.com/erobic/negative_analysis_of_grounding

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Visual Grounding Methods for VQA are Working for the Wrong Reasons!

https://github.com/erobic/ramen

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Answer Them All! Toward Universal Visual Question Answering Models

https://github.com/eujhwang/meme-cap

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MemeCap: A Dataset for Captioning and Interpreting Memes

https://github.com/evansh666/evogen

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Progressive Compositionality In Text-to-Image Generative Models

https://github.com/evaportelance/vqa-function-word-learning

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Learning the meanings of function words from grounded language using a visual question answering model

https://github.com/evolvinglmms-lab/lmms-eval

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LLaVA-OneVision: Easy Visual Task Transfer

https://github.com/explainableml/clevr-x

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CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations

https://github.com/explainableml/zs-a2t

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Zero-shot Translation of Attention Patterns in VQA Models to Natural Language

https://github.com/facebookresearch/daqa

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Temporal Reasoning via Audio Question Answering

https://github.com/facebookresearch/multimodal_rewardbench

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Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models

https://github.com/facebookresearch/reliable_vqa

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Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly

https://github.com/facebookresearch/selective-vqa_ood

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Improving Selective Visual Question Answering by Learning from Your Peers

https://github.com/facebookresearch/sonata

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Sonata: Self-Supervised Learning of Reliable Point Representations

https://github.com/facebookresearch/vilbert-multi-task

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12-in-1: Multi-Task Vision and Language Representation Learning

https://github.com/fangbufang/sal

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Separate and Locate: Rethink the Text in Text-based Visual Question Answering

https://github.com/fangjun-li/roomspace

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Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning

https://github.com/fatemehshiri/spatial-mm

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An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models

https://github.com/fawazsammani/nlxgpt

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Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks

https://github.com/fawazsammani/uni-nlx

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Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks

https://github.com/feielysia/viecap

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Transferable Decoding with Visual Entities for Zero-Shot Image Captioning

https://github.com/fenglinliu98/MIA

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Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations

https://github.com/ffd8ffe/babelbench

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BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data

https://github.com/findalexli/SciGraphQA

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SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs

https://github.com/findalexli/mllm-dpo

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Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language Models

https://github.com/findalexli/mllm-dpo/blob/main/README.MD

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Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language Models

https://github.com/flageval-baai/flagevalmm

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FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation

https://github.com/flair-thu/creamfl

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Multimodal Federated Learning via Contrastive Representation Ensemble

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