Papers with Code 아카이브

Visual Question Answering

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

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/mdda/relationships-from-entity-stream

A simple neural network module for relational reasoning

https://github.com/meiqiguo/iccv2021-atypicalitydetection

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

https://github.com/meliketoy/gradcam.pytorch

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/mengchuang123/vasparse-github

Evaluating Object Hallucination in Large Vision-Language Models

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

Spatial Memory for Context Reasoning in Object Detection

https://github.com/menloresearch/ichigo

Chameleon: Mixed-Modal Early-Fusion Foundation Models

https://github.com/mesnico/RelationNetworks-CLEVR

A simple neural network module for relational reasoning

https://github.com/microsoft/LLaVA-Med

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

https://github.com/microsoft/eureka-ml-insights

Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead

https://github.com/microsoft/unicl

Florence: A New Foundation Model for Computer Vision

https://github.com/microsoft/xpretrain

Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers

https://github.com/mineshmathew/DocVQA

DocVQA: A Dataset for VQA on Document Images

https://github.com/mineshmathew/DocVQA/tree/master/BERT_baseline

DocVQA: A Dataset for VQA on Document Images

https://github.com/miohana/vqa

Simple Baseline for Visual Question Answering

https://github.com/mishajw/vocab_pie

VQA: Visual Question Answering

https://github.com/mitjanikolaus/compositional-image-captioning

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

https://github.com/mitvis/vistext

Unifying Vision-and-Language Tasks via Text Generation

https://github.com/mkhalil1998/EC601_Group_Project

VQA: Visual Question Answering

https://github.com/mlfoundations/open_clip

CoCa: Contrastive Captioners are Image-Text Foundation Models

https://github.com/mmaaz60/mvits_for_class_agnostic_od

Towards General Purpose Vision Systems

https://github.com/modelscope/modelscope

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

https://github.com/moduIo/Relation-Networks

A simple neural network module for relational reasoning

https://github.com/moh833/VQA

VQA: Visual Question Answering

https://github.com/mokhalid-dev/Attention-based-VQA-model

VQA: Visual Question Answering

https://github.com/moserle/TSJS-Grad-CAM

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/msandeep27/Pytorch-Grad-Cam

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/myaoo18/EC601-Visual-Question-Answering

Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering

https://github.com/n-akram/GradCamDDD

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/nalbarr/coursera-ai4med-course3

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/nautilus261/tf-faster-rcnn

Spatial Memory for Context Reasoning in Object Detection

https://github.com/naver/aqm-plus

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

https://github.com/necotis/naaqa-acoustic-question-answering

NAAQA: A Neural Architecture for Acoustic Question Answering

https://github.com/nerdimite/neuro-symbolic-ai-soc

Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding

https://github.com/nerdimite/relation-network

A simple neural network module for relational reasoning

https://github.com/neuqgz/modify-faster-rcnn-tf

Spatial Memory for Context Reasoning in Object Detection

https://github.com/nguyenhoa93/GradCAM_and_GuidedGradCAM_tf2

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

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