Thea1

Thea1's Stars

• 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:Python18.7k1472592.8k

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python9.8k443951.5k

• facebookresearch/dino

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

  Language:Python6k68244884

• MegEngine/MegEngine

  MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

  Language:C++4.7k136369537

• chenyuntc/simple-faster-rcnn-pytorch

  A simplified implemention of Faster R-CNN that replicate performance from origin paper

  Language:Jupyter Notebook4k562481.1k

• facebookresearch/deit

  Official DeiT repository

  Language:Python3.9k49197547

• dk-liang/Awesome-Visual-Transformer

  Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

  3.3k10641392

• whai362/PVT

  Official implementation of PVT series

  Language:Python1.7k22109243

• ramprs/grad-cam

  [ICCV 2017] Torch code for Grad-CAM

  Language:Lua1.5k1825221

• BangguWu/ECANet

  Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

  Language:Python1.2k1568197

• facebookresearch/FixRes

  This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

  Language:Python1k2435152

• zasdfgbnm/TorchSnooper

  Debug PyTorch code using PySnooper

  Language:Python795151144

• kazuto1011/grad-cam-pytorch

  PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

  Language:Python782736174

• zhunzhong07/Random-Erasing

  Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

  Language:Python7151618156

• yizt/Grad-CAM.pytorch

  pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

  Language:Python7051058166

• JDAI-CV/DCL

  Destruction and Construction Learning for Fine-grained Image Recognition

  Language:Python5821777158

• HuangYG123/CurricularFace

  CurricularFace(CVPR2020)

  Language:Python521224274

• implus/GFocalV2

  Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021

  Language:Python472144254

• cfzd/FcaNet

  FcaNet: Frequency Channel Attention Networks

  Language:Python46364599

• yangze0930/NTS-Net

  This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

  Language:Python4491153120

• JPLAY0/CS231nAssignment

  Stanford CS231n assignment in 2019 spring

  Language:Jupyter Notebook38663126

• TACJu/TransFG

  This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

  Language:Python38153687

• ZF4444/MMAL-Net

  This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).

  Language:Python24754454

• CaptainEven/RepNet-MDNet-VehicleReID

  Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别，车辆再识别，车辆匹配，车辆检索，RepNet/MDNet的一种PyTorch实现

  Language:Python241192659

• naver-ai/pit

  Language:Python23812531

• megvii-model/FunnelAct

  Language:Python17591321

• wvinzh/WS_DAN_PyTorch

  PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)

  Language:Python16531235

• PeiqinZhuang/API-Net

  Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020

  Language:Python1254931

• tau-yihouxiang/WS_DAN

  The official TensorFlow implementation of WS-DAN.

  Language:Python11162229

• ygean/NTS-Net

  This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" , I support this repository to implement training on own dataset, and also providing densenet as feature extractor network.

  Language:Python38506