Simple, online, and realtime tracking of multiple objects in a video sequence.

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

A lightweight adapter bridges SAM with medical imaging [MedIA]

(ACM TOMM) This is the official code repository for "VM-UNet: Vision Mamba UNet for Medical Image Segmentation".

Mamba-UNet Zoo

Wavelet Convolutions for Large Receptive Fields. ECCV 2024.

code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

TorchEEG is a library built on PyTorch for EEG signal analysis.

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation

Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"

IJCAI2020 & IJCV2021 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)

高效交互式语义分割标注软件EISeg 『Efficient and intelligent interactive segmentation annotation software』

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)

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

🖼The python implementation to make superpixels by slic.

[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

[CVPR'22] Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation

Weakly-Supervised Salient Object Detection via Scribble Annotations, CVPR2020

code for paper Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation (CVPR 2021)

Exploring CNN and ViT for Semi-Supervised Medical Image Segmentation

[CVPR 2022] CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision