RzzzLiu

AllSpark

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

Paraformer

Paraformer: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

dual-teacher

Official code for the NeurIPS 2023 paper "Switching Temporary Teachers for Semi-Supervised Semantic Segmentation"

Awesome-Semi-Supervised-Semantic-Segmentation

A summary of recent semi-supervised semantic segmentation methods

CorrMatch

Official code for "CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation"

semisup-semseg

CPCL

[IEEE TIP] Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation

GTA-Seg

Code for GTA-Seg (NeurIPS2022)

Semi-Supervised-Segmentation-Pytorch

A repository for semi supervised image segmentation using Mean Teacher

iMAS

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

ClassMix

SSL_ELN

This repository contains the official implementation of Semi-supervised Semantic Segmentation with Error Localization Network that has been accepted to 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022).

PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

cutmix-semisup-seg

Semi-supervised semantic segmentation needs strong, varied perturbations

AugSeg

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

ST-PlusPlus

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

diverse-cotraining

Office implementation of Diverse Co-training (ICCV2023)

reco

The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].

PS-MT

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

RSICD_optimal

Datasets for remote sensing images (Paper:Exploring Models and Data for Remote Sensing Image Caption Generation)

SemiSeg-AEL

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

HyperDenseNet_pytorch

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

boundary_loss_for_remote_sensing

Pytorch re-implementation of boundary loss, proposed in "Boundary Loss for Remote Sensing Imagery Semantic Segmentation"

mean-teacher

A state-of-the-art semi-supervised method for image recognition

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

PixelSSL

A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]

UniMatch

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

LoveDA

[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

CCT

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