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/2023-MindSpore-1/ms-code-16/tree/main/advanced_east

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

https://github.com/2023-MindSpore-1/ms-code-224/tree/main/advanced_east

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/blip_2

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/cogvlm

CogVLM: Visual Expert for Pretrained Language Models

https://github.com/2024-MindSpore-1/Code5/tree/main/advanced_east

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

https://github.com/2024-MindSpore-1/Code6/tree/main/advanced_east

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

https://github.com/42Shawn/LLaVA-PruMerge

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models

https://github.com/AI-metrics/AI-metrics

Visual Question Answering: A Survey of Methods and Datasets

https://github.com/AUCOHL/RTL-Repo

GPT-4 Technical Report

https://github.com/Adam1679/mutan-article-net

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

https://github.com/AhnYoungBin/Grad_cam

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

https://github.com/AishwaryaAgrawal/GVQA

Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

https://github.com/AlanYangYi/GayPhotoStyleRecongnizer

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

https://github.com/AlanYangYi/PhotoStyleRecongnizer

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

https://github.com/AldrichCabrera/gradCam-smallvgg

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

https://github.com/AleDella/mdter_eval

MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding

https://github.com/AlexKuhnle/film

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

https://github.com/AlexSzen/wwf_shark_id

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

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

Spatial Memory for Context Reasoning in Object Detection

https://github.com/AndreaCossu/Relation-Network-PyTorch

A simple neural network module for relational reasoning

https://github.com/AndresPMD/Fine_Grained_Clf

Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features

https://github.com/Ankush96/grad-cam.tensorflow

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

https://github.com/BigRedT/info-ground

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

https://github.com/BinaLab/FloodNet-Challenge-EARTHVISION2021

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

https://github.com/CMU-CREATE-Lab/deep-smoke-machine

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

https://github.com/Chaolei98/FreeZAD

CoCa: Contrastive Captioners are Image-Text Foundation Models

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

Spatial Memory for Context Reasoning in Object Detection

https://github.com/China-UK-ZSL/Resources_for_KZSL

Ontology-guided Semantic Composition for Zero-Shot Learning

https://github.com/Cloud-CV/Grad-CAM

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

https://github.com/Cloud-CV/vilbert-multi-task

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

https://github.com/Cloud-CV/visual-chatbot

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

https://github.com/Cremiy/visdial-rl

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

https://github.com/Cyanogenoid/pytorch-vqa

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

https://github.com/Deepak3994/Grad-Cam

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

https://github.com/Deepak3994/grad-cam-editted

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

https://github.com/Divs1159/STING-BEE

STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection

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