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Visual Question Answering

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하위 태스크

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평가표

30

보존된 평가 기록

334

코드

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

https://github.com/RobBlackwell/can-llms-reason-about-the-rcc

공식 코드

Can Large Language Models Reason about the Region Connection Calculus?

https://github.com/RunpeiDong/DreamLLM

공식 코드

DreamLLM: Synergistic Multimodal Comprehension and Creation

https://github.com/SJTUHaiyangYu/BackdoorMBTI

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BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation

https://github.com/SPRIGHT-T2I/SPRIGHT

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Getting it Right: Improving Spatial Consistency in Text-to-Image Models

https://github.com/SRI-CSL/TrinityMultimodalTrojAI

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Dual-Key Multimodal Backdoors for Visual Question Answering

https://github.com/Seth-Park/MultimodalExplanations

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Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

https://github.com/SharkyBamboozle/iVISPAR

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iVISPAR -- An Interactive Visual-Spatial Reasoning Benchmark for VLMs

https://github.com/SinghJasdeep/Attention-on-Attention-for-VQA

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Attention on Attention: Architectures for Visual Question Answering (VQA)

https://github.com/SkiddieAhn/Paper-AnyAnomaly

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AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM

https://github.com/SpencerWhitehead/novelvqa

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Separating Skills and Concepts for Novel Visual Question Answering

https://github.com/SpencerWhitehead/vqap2

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Learning from Lexical Perturbations for Consistent Visual Question Answering

https://github.com/SunJiamei/LRP-imagecaptioning-pytorch

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Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning Models

https://github.com/SuperSupermoon/MedViLL

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Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training

https://github.com/THU-BPM/LLMArena

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LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments

https://github.com/THUDM/CogAgent

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CogAgent: A Visual Language Model for GUI Agents

https://github.com/THUNLP-MT/ActiView

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ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models

https://github.com/THUNLP-MT/EscapeCraft

공식 코드

How Do Multimodal Large Language Models Handle Complex Multimodal Reasoning? Placing Them in An Extensible Escape Game

https://github.com/Theo-Jaunet/VisQA

공식 코드

VisQA: X-raying Vision and Language Reasoning in Transformers

https://github.com/TongZhangTHU/sgr

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A Universal Semantic-Geometric Representation for Robotic Manipulation

https://github.com/TonyLianLong/LLM-groundedDiffusion

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LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

https://github.com/Tzoulio/Large_Models_Dialogue_for_Active_Perception

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Large Models in Dialogue for Active Perception and Anomaly Detection

https://github.com/UCF-CRCV/ImplicitQA

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ImplicitQA: Going beyond frames towards Implicit Video Reasoning

https://github.com/Ucas-HaoranWei/Vary

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Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models

https://github.com/VARGPT-family/VARGPT

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VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model

https://github.com/VITA-Group/VLM-3R

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VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction

https://github.com/Vanessik/HAAR

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HAAR: Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles

https://github.com/VarnithChordia/Multimodal_Classification_Co_Attention

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Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-Attention

https://github.com/VirajBagal/MMBERT

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MMBERT: Multimodal BERT Pretraining for Improved Medical VQA

https://github.com/VisionLearningGroup/SANE

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Why do These Match? Explaining the Behavior of Image Similarity Models

https://github.com/WangYuxuan93/CVLUE

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CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation

https://github.com/WisconsinAIVision/YoLLaVA

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Yo'LLaVA: Your Personalized Language and Vision Assistant

https://github.com/X-PLUG/mPLUG-Owl/tree/main/mPLUG-Owl2

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mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration

https://github.com/XenonLamb/EditVid-QA

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Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model

https://github.com/YIKUAN8/Transformers-VQA

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A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports

https://github.com/YancyKahn/CIA

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Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target Tokens

https://github.com/Yushi-Hu/PromptCap

공식 코드

PromptCap: Prompt-Guided Task-Aware Image Captioning

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