chenshaobin

CvT

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

LeViT

LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

RETFound_MAE

RETFound - A foundation model for retinal image

Saddle-LongTail

[NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"

Diff-Mix

DeiT-LT

[CVPR 2024] Code for our Paper "DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets"

Vim

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

SGL-Retinal-Vessel-Segmentation

[MICCAI 2021] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE_DB1.

ROP

Swin-Unet

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Swin-UMamba

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

U-Mamba

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

VMamba

VMamba: Visual State Space Models，code is based on mamba

CPR

MICCAI 2023: Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation

FedDG-ELCFS

[CVPR'21] FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

FedDG-GA

[CVPR 2023] Federated Domain Generalization with Generalization Adjustment

DFQ

official implementation of the proposed decoupled feature query (DFQ)

DISAM

This repository contains the implementation details for the paper "Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts," accepted at the ICLR 2024.

test-time-adaptable-neural-networks-for-domain-generalization

Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"

ADVENT

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

SynDiff

Official PyTorch implementation of SynDiff described in the paper (https://arxiv.org/abs/2207.08208).

VPTTA

Code for [CVPR 2024] Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation.

ProSFDA

Code for Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation.

SVDP

[AAAI 2024] SVDP: Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

DropoutUncertaintyExps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

SFDA-DPL

[MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling

BEAL

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

DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.