Reagan1311

Reagan1311's Stars

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.7k3254053.4k

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.2k1562693.1k

• facebookresearch/dino

  PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

  Language:Python6.5k67247920

• rom1504/img2dataset

  Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

  Language:Python3.8k31263345

• UxxHans/Rainbow-Cats-Personal-WeChat-MiniProgram

  给女朋友做的微信小程序！情侣自己的任务和商城系统！

  Language:JavaScript1.9k1661471

• hila-chefer/Transformer-Explainability

  [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

  Language:Jupyter Notebook1.8k2163241

• hkchengrex/XMem

  [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

  Language:Python1.8k21136195

• facebookresearch/co3d

  Tooling for the Common Objects In 3D dataset.

  Language:Python973838377

• jacobgil/vit-explain

  Explainability for Vision Transformers

  Language:Python879626102

• hila-chefer/Transformer-MM-Explainability

  [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

  Language:Jupyter Notebook811836107

• isl-org/lang-seg

  Language-Driven Semantic Segmentation

  Language:Jupyter Notebook737175294

• MarkMoHR/Awesome-Referring-Image-Segmentation

  :books: A collection of papers about Referring Image Segmentation.

  659151158

• SeanChenxy/Hand3DResearch

  Language:Python47332545

• ShirAmir/dino-vit-features

  Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".

  Language:Python40542148

• tfzhou/ProtoSeg

  CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View

  Language:Python357172041

• ddshan/hand_object_detector

  Project and dataset webpage:

  Language:Python24652868

• showlab/EgoVLP

  [NeurIPS2022] Egocentric Video-Language Pretraining

  Language:Python23032820

• ir413/mvp

  Masked Visual Pre-training for Robotics

  Language:Python22261726

• xiaojianzhong/awesome-weakly-supervised-semantic-segmentation

  A comprehensive list of weakly supervised semantic segmentation (WSSS) works from 2014 to 2022.

  1557015

• vasgaowei/TS-CAM

  Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

  Language:Jupyter Notebook13941925

• usr922/wseg

  [CVPR'22] Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast

  Language:Python12621614

• yzqin/dexmv-sim

  DexMV: Imitation Learning for Dexterous Manipulation from Human Videos, ECCV 2022

  Language:Python12532316

• oakink/OakInk

  [CVPR 2022] OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction

  Language:Python1078135

• owenzlz/EgoHOS

  Fine-Grained Egocentric Hand-Object Segmentation, ECCV 2022

  Language:Python9611512

• maeve07/RCA

  Language:Python733204

• zhiweichen0012/Weakly-Supervised-Object-Localization-Paper-List

  Weakly Supervised Object Localization Paper List

  39729

• talshaharabany/what-is-where-by-looking

  What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs

  Language:Jupyter Notebook23141

• showlab/Q2A

  [ECCV 2022] AssistQ: Affordance-centric Question-driven Task Completion for Egocentric Assistant

  Language:Python19336

• mrudorfer/burg-toolkit

  Toolkit for benchmarking and understanding robotic grasping

  Language:Python17342

• Jazzcharles/CREAM

  Weakly Supervised Object Localization via Class RE-Activation Mapping

  Language:Python10324