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/Dlut-lab-zmn/Image-Captioning-Attack

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

https://github.com/DongjunLee/dmn-tensorflow

Dynamic Memory Networks for Visual and Textual Question Answering

https://github.com/Eljefemasao/Customed-Object-Detector

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

https://github.com/Eljefemasao/MarkNet-ObjectDetector

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

https://github.com/FJSam/SelfCritical_ImageCaptioning

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

https://github.com/Fangyin1994/KCL

Zero-shot Visual Question Answering using Knowledge Graph

https://github.com/FengSuSky/CCB-VQA

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

https://github.com/FerryHuang/SimVLM

SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

https://github.com/Fragjacker/Pointcloud-grad-CAM

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

https://github.com/FrancescoSaverioZuppichini/A-journey-into-Convolutional-Neural-Network-visualization-

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

https://github.com/FuxiaoLiu/VisualNews-Repository

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

https://github.com/GuessWhatGame/clevr

Modulating early visual processing by language

https://github.com/GuessWhatGame/guesswhat

GuessWhat?! Visual object discovery through multi-modal dialogue

https://github.com/Gunnika/Visual-Question-Answering

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

https://github.com/H-Freax/ThinkGrasp

Free-form language-based robotic reasoning and grasping

https://github.com/Hydragon516/Grad-CAM-pytorch

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

https://github.com/IS2AI/Chest-X-ray-module

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

https://github.com/IllgamhoDuck/ResTR

A simple neural network module for relational reasoning

https://github.com/ImperialNLP/BertGen

VL-BERT: Pre-training of Generic Visual-Linguistic Representations

https://github.com/JHKim-snu/GVCCI

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

https://github.com/JHKim-snu/PGA

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

https://github.com/Jara555/CNN-for-AD-classification

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

https://github.com/Jeremyyny/Value-Spectrum

Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts

https://github.com/Jmak12/Iris1

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

https://github.com/JoonSeongPark/vqa

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

https://github.com/JosephElHachem/GradCam

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

https://github.com/JuHyun-E/Attention-ResNet50

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

https://github.com/JuHyun-E/Attention_in_NN

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

https://github.com/JunweiLiang/DualAttentionNetwork

Dual Attention Networks for Multimodal Reasoning and Matching

https://github.com/JunweiLiang/FVTA_memoryqa

Focal Visual-Text Attention for Visual Question Answering

https://github.com/KastanDay/video-pretrained-transformer

PaLM-E: An Embodied Multimodal Language Model

https://github.com/KaveeshaSIlva/Baseline-FYP

PathVQA: 30000+ Questions for Medical Visual Question Answering

https://github.com/KaveeshaSIlva/PathVQA

PathVQA: 30000+ Questions for Medical Visual Question Answering

https://github.com/Kenneth-Wong/tf-faster-rcnn

Spatial Memory for Context Reasoning in Object Detection

https://github.com/Ketansuhaas/scope-diffusers

Progressive Prompt Detailing for Improved Alignment in Text-to-Image Generative Models

https://github.com/KyeongmoonKim/sb

Spatial Memory for Context Reasoning in Object Detection

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