https://github.com/Sooram/GradCam-tensorflow
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Papers with Code 아카이브
Visual Question Answering
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Sreyan88/GAMA
https://github.com/Stephenfang51/Grad_CAM
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/Stomper10/CheXpert
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/SuchismitaSahu1993/VQA-System
https://github.com/Swati17293/HQS
Hierarchical Deep Multi-modal Network for Medical Visual Question Answering
https://github.com/Tashnim-Chowdhury/FloodNet-Challenge-EARTHVISION2021
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
https://github.com/ThanThoai/Visual-Question-Answering_Vietnamese
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
https://github.com/TheInfamousWayne/CheXNet
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/TooTouch/WhiteBox-Part1
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/UCSB-VRL/GTNet
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
https://github.com/VTOOL-R1/vtool-r1
VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use
https://github.com/VegB/VLN-Transformer
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
https://github.com/VincentYing/Attention-on-Attention-for-VQA
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
https://github.com/WebQnA/WebQA_Baseline
Unified Vision-Language Pre-Training for Image Captioning and VQA
https://github.com/Wentong-DST/up-down-captioner
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
https://github.com/WillSuen/VQA
Hierarchical Question-Image Co-Attention for Visual Question Answering
https://github.com/Wordbe/GradCAM3D
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/X-PLUG/mPLUG-2
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
https://github.com/XingruiWang/superclevr-3D-question
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
https://github.com/YanjieZe/Improved-3D-Diffusion-Policy
PointVLA: Injecting the 3D World into Vision-Language-Action Models
https://github.com/YicongHong/Entity-Graph-VLN
https://github.com/YicongHong/Recurrent-VLN-BERT
https://github.com/YitianShi/vMF-Contact
https://github.com/Youngb2n/GradCAM
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/ZhangYiqun018/StickerConv
https://github.com/Zhendong-Wang/arsm_image_captioning
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
https://github.com/abhigoyal1997/CS-763-Project
Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering
https://github.com/abhijit-buet/VizWiz-Visua-Question-Answering-2021
https://github.com/abhijit-buet/VizWiz-Visual-Question-Answering-2021
https://github.com/abhshkdz/neural-vqa-attention
https://github.com/achiyaj/vqa-sandbox
https://github.com/adriangoe/relational-networks-pytorch
https://github.com/ahjeongseo/MASN-pytorch
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
https://github.com/ahmedmagdiosman/compress-vqa
Dual Recurrent Attention Units for Visual Question Answering
https://github.com/aidc-ai/ovis
Wings: Learning Multimodal LLMs without Text-only Forgetting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.