This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image …

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022

船长关于机器学习、计算机视觉和工程技术的总结和分享

[ECCV 2024] Official Implementation and Dataset Release for <A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization>

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

PyTorch deep learning projects made easy.

A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

Official Implementation of MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation (ECCV2024) (Oral)

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

A novel segmentation model termed Swin UNEt TRansformers (Swin UNETR). Specially for the task of 3D semantic segmentation.

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

BCDU-Net : Medical Image Segmentation

Unofficial PyTorch implementation of SA-UNet

The open source code of SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation.

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation (PRCV)

[NeurIPS 2022] HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

具身智能入门指南 Embodied-AI-Guide

ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection (TPAMI 2024)