Papers with Code 아카이브

Visual Question Answering

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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/yiyangzhou/csr

공식 코드

Calibrated Self-Rewarding Vision Language Models

https://github.com/yiyangzhou/lure

공식 코드

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

https://github.com/yiyangzhou/povid

공식 코드

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning

https://github.com/yjch00/plural

공식 코드

Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays

https://github.com/ykotseruba/snap

공식 코드

SNAP: A Benchmark for Testing the Effects of Capture Conditions on Fundamental Vision Tasks

https://github.com/yonatanbitton/AutoGenOfContrastSetsFromSceneGraphs

공식 코드

Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA

https://github.com/yonatanbitton/wysiwyr

공식 코드

What You See is What You Read? Improving Text-Image Alignment Evaluation

https://github.com/youshanzhang/sparrowvqe

공식 코드

SparrowVQE: Visual Question Explanation for Course Content Understanding

https://github.com/ys-zong/vl-icl

공식 코드

VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning

https://github.com/ytongxie/medical-vision-and-language-tasks-and-methodologies-a-survey

공식 코드

A Survey of Medical Vision-and-Language Applications and Their Techniques

https://github.com/yu-fangxu/for

공식 코드

Flow of Reasoning:Training LLMs for Divergent Problem Solving with Minimal Examples

https://github.com/yu-rp/visualperceptiontoken

공식 코드

Introducing Visual Perception Token into Multimodal Large Language Model

https://github.com/yuchenliu98/comm

공식 코드

From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models

https://github.com/yuecao0119/MMFuser

공식 코드

MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding

https://github.com/yuecao0119/mminstruct

공식 코드

MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity

https://github.com/yueche77/spin

공식 코드

Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression

https://github.com/yueen-ma/awesome-vla

공식 코드

A Survey on Vision-Language-Action Models for Embodied AI

https://github.com/yufang-liu/clip_hallucination

공식 코드

Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models

https://github.com/yuhui-zh15/autoconverter

공식 코드

Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation

https://github.com/yujungheo/kbvqa-public

공식 코드

Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering

https://github.com/yuleiniu/rva

공식 코드

Recursive Visual Attention in Visual Dialog

https://github.com/yuliang-liu/monkey

공식 코드

Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models

https://github.com/yuliang-liu/multimodalocr

공식 코드

OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models

https://github.com/yuliangcai2022/clumo

공식 코드

CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering

https://github.com/yuweihao/mm-vet

공식 코드

MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities

https://github.com/yuyangdu01/llm-cl-vqa

공식 코드

LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery

https://github.com/yuzcccc/mfb

공식 코드

Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering

https://github.com/yuzcccc/vqa-mfb

공식 코드

Beyond Bilinear: Generalized Multimodal Factorized High-order Pooling for Visual Question Answering

https://github.com/yzhjessica/cdvqa

공식 코드

Change Detection Meets Visual Question Answering

https://github.com/yzleroy/revive

공식 코드

REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering

https://github.com/z1zs/mmneuron

공식 코드

MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

https://github.com/zaynmi/seada-vqa

공식 코드

Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering

https://github.com/zechenli03/qlevr

공식 코드

QLEVR: A Diagnostic Dataset for Quantificational Language and Elementary Visual Reasoning

https://github.com/zeqing-wang/timecausality

공식 코드

TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models

https://github.com/zfying/visfis

공식 코드

VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives

https://github.com/zh460045050/v2l-tokenizer

공식 코드

Beyond Text: Frozen Large Language Models in Visual Signal Comprehension

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.