youngsnpeak

M3d-Cam

CISC-R

[TPAMI 2022] Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation

UPCoL

[MICCAI-2023] Official Implementation for "UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation"

semi_seg_proto

Official implementation of "Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization" (NeurIPS2022)

ContrastiveSeg

ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation

lizhi

李志所有歌曲下载地址 Li Zhi all songs download address

U2PL

[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

2023_NeurIPS_CS-isolate

wss

A simple consistency training framework for semi-supervised image semantic segmentation

Af-DCD

The official project website of "Augmentation-free Dense Contrastive Distillation for Efficient Semantic Segmentation" (Af-DCD for short, accepted to NeurIPS 2023).

BASS

MONAI

AI Toolkit for Healthcare Imaging

RCPS

official implementation of rectified contrastive pseudo supervision

PatchCL-MedSeg

SemiMedSeg

MICCAI 2021 : Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation (Pytorch implementation).

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

CDCL

G-CASCADE

SIPE

[CVPR 2022] Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

UniMatch

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

FixMatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

MC-Net

Official Code for our MedIA paper "Mutual Consistency Learning for Semi-supervised Medical Image Segmentation"

CCT

:page_facing_up: Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).

MRQy

MRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.

QMITH

MRI-based quantitative measure of intra-tumoral heterogeneity in breast cancer

MCF

AC-MT

[MedIA23] Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation

UAUDeblur