Beckschen

google-research

Google Research

awesome-github-profile-readme

😎 A curated list of awesome GitHub Profile which updates in real time

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

dino

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

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers

migration

《系统重构与迁移指南》手把手教你分析、评估现有系统、制定重构策略、探索可行重构方案、搭建测试防护网、进行系统架构重构、服务架构重构、模块重构、代码重构、数据库重构、重构后的架构守护

HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

longformer

Longformer: The Long-Document Transformer

semantic-segmentation

Nvidia Semantic Segmentation monorepo

PVT

Official implementation of PVT series

openseg.pytorch

The official Pytorch implementation of OCNet series and SegFix.

self-attention-cv

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

T2T-ViT

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

RotationDetection

This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.

CoordAttention

Code for our CVPR2021 paper coordinate attention

PraNet

PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

CoordConv-pytorch

Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' paper. (https://arxiv.org/pdf/1807.03247.pdf)

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).

transformer-in-transformer

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

DTC

Semi-supervised Medical Image Segmentation through Dual-task Consistency

CoordConv

ghfeat

[CVPR 2021] Generative Hierarchical Features from Synthesizing Images

max-deeplab

Unofficial implementation of MaX-DeepLab for Instance Segmentation

image-to-recipe-transformers

Code for CVPR 2021 paper: Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning

skin-data-augmentation

Source code for the paper 'Data Augmentation for Skin Lesion Analysis' — 🏆 Best Paper Award at the ISIC Skin Image Analysis Workshop @ MICCAI 2018

melanoma_segmentation

Segmentation of skin cancers on ISIC 2017 challenge dataset.

Clustering-CNN-Features

[WIP] Clustering similar video frames using CNN features

EPFL_notes_cheatsheet

markdown notes, LaTeX cheatsheet, and mindmap for courses @ EPFL