Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

Awesome Incremental Learning

PyTorch implementation of Superpixel Sampling Networks

Inpaint anything using Segment Anything and inpainting models.

Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary

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

Code for [MICCAI 2023] Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

A collection of resources and papers on Diffusion Models

Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

SPAtial GrapHs: nETworks, Topology, & Inference

The PyTorch Code for our CVPR 2022 paper "L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation"

Official repository of "Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation", ICLR 2023.

[CVPR 2022] Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

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

Open source library for Single Object Tracking in point clouds.

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

A collection of SOTA Image Classification Models in PyTorch

SOTA Semantic Segmentation Models in PyTorch

Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

SC-CAM: Weakly-Supervised Semantic Segmentation via Sub-category Exploration (CVPR 2020)