[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

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

[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

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

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

[CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation

🚀 Code for SLRNet: Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation

CVPR 2024: AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation

UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation

MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation

[CVPR'23] Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation

Official Pytorch Code base for "Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model"

[CVPR'22] Semi-Supervised Video Semantic Segmentation with Inter-Frame Feature Reconstruction

[ECCV'24] Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation

ACM MM 2023: Improving semi-supervised semantic segmentation with dual-level Siamese structure network

Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation

An up-to-date & curated list of awesome semi-supervised segmentation papers, methods & resources.

This repository contains the official implementation of the following manuscript: Hui Xiao, Li Dong, Hao Xu, Shuibo Fu, Diqun Yan, Kangkang Song, and Chengbin Peng. "Semi-supervised Semantic Segmentation with Cross Teacher Training." Neurocomputing 508 (2022): 36-46.

Drone-based Thermographic Defect Detection of Large Specimens using Self-Training Segmentation