NaChuaN666

sam-hq

Segment Anything in High Quality [NeurIPS 2023]

SAM-OCTA

AugSeg

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

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

S2C

AEFT

Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation, ECCV2022

irn

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)

psa

Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018

BECO

Weakly-Supervised-Learning, Semantic Segmentation, CVPR 2023

PMM

Pseudo-mask Matters in Weakly-supervised Semantic Segmentation

OC-CSE

Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation, ICCV 2021

ACR

Official repository for CVPR 2023 paper: WSSS via Adversarial Learning of Classifier and Reconstructor

img_classification_pk_pytorch

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

CT-crackseg

Official code for ICIP 2023 paper "A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness"

WeaklySupervisedCrackSeg

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

recognize-anything

Open-source and strong foundation image recognition models.

ST-PlusPlus

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

PS-MT

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

Context-Aware-Consistency

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

PixelSSL

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

Awesome-Semi-Supervised-Semantic-Segmentation

A summary of recent semi-supervised semantic segmentation methods

TorchSemiSeg

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

UP-CrackNet

released code for "UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image Restoration"

SSL4MIS

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

semantic-segmentation

SOTA Semantic Segmentation Models in PyTorch

SegVit

Official Pytorch Implementation of SegViT: Semantic Segmentation with Plain Vision Transformers

HrSegNet4CrackSegmentation

Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation

HACNet

Implementation of "An Effective Hybrid Atrous Convolutional Network for Pixel-Level Crack Detection" in keras. https://ieeexplore.ieee.org/document/9410578

pavement-crack-detection