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/hila-chefer/Transformer-MM-Explainability

공식 코드

Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers

https://github.com/hitsz-tmg/cognitive-visual-language-mapper

공식 코드

A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering

https://github.com/hitsz-tmg/umoe-scaling-unified-multimodal-llms

공식 코드

Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

https://github.com/hiyouga/easyr1

공식 코드

Grounded Reinforcement Learning for Visual Reasoning

https://github.com/hlr/lovis

공식 코드

LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation

https://github.com/hlr/nesycoco

공식 코드

NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization

https://github.com/holipori/mimic-diff-vqa

공식 코드

Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering

https://github.com/hrl-mike/pitvqa-plus

공식 코드

PitVQA++: Vector Matrix-Low-Rank Adaptation for Open-Ended Visual Question Answering in Pituitary Surgery

https://github.com/hs-yn/daps

공식 코드

Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation

https://github.com/hs-yn/panoavqa

공식 코드

Pano-AVQA: Grounded Audio-Visual Question Answering on 360$^\circ$ Videos

https://github.com/hsiangwei0903/spatialagent

공식 코드

Warehouse Spatial Question Answering with LLM Agent

https://github.com/huangyangyi/tech

공식 코드

TeCH: Text-guided Reconstruction of Lifelike Clothed Humans

https://github.com/hxyz-123/reasoningocr

공식 코드

Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?

https://github.com/hyperwjf/logiccheckgpt

공식 코드

Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

https://github.com/hyu-zhang/itr

공식 코드

Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded Dialog

https://github.com/iclr2019-anon123456/perm-optim

공식 코드

Learning Representations of Sets through Optimized Permutations

https://github.com/icoz69/stablellava

공식 코드

StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data

https://github.com/ict-bigdatalab/vnel

공식 코드

Visual Named Entity Linking: A New Dataset and A Baseline

https://github.com/idansc/HighOrderAtten

공식 코드

High-Order Attention Models for Visual Question Answering

https://github.com/idansc/fga

공식 코드

Factor Graph Attention

https://github.com/ids-cv/coling_iparaphrasing

공식 코드

iParaphrasing: Extracting Visually Grounded Paraphrases via an Image

https://github.com/ieit-agi/mix-shannon

공식 코드

Image Content Generation with Causal Reasoning

https://github.com/iigroup/map

공식 코드

MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model

https://github.com/iigroup/scl

공식 코드

Seeing What You Miss: Vision-Language Pre-training with Semantic Completion Learning

https://github.com/ikb-a/systematicity-gap-in-vqa

공식 코드

Attribute Diversity Determines the Systematicity Gap in VQA

https://github.com/ilija139/vqa-soft

공식 코드

A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models

https://github.com/illusionhi/probingprivacy

공식 코드

Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models

https://github.com/imatge-upc/vqa-2016-cvprw

공식 코드

Open-Ended Visual Question-Answering

https://github.com/iml-dkfz/sure-vqa

공식 코드

SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks

https://github.com/imran2205/logicrag

공식 코드

Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene Understanding

https://github.com/infly-ai/inf-mllm

공식 코드

InfMLLM: A Unified Framework for Visual-Language Tasks

https://github.com/inst-it/inst-it

공식 코드

Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tuning

https://github.com/intell-sci-comput/slotpi

공식 코드

SlotPi: Physics-informed Object-centric Reasoning Models

https://github.com/intellabs/vl-interpret

공식 코드

VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers

https://github.com/intellisensing/rs-agent

공식 코드

RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent

https://github.com/interaction-lab/hribench

공식 코드

HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction

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