NaChuaN666's starred repositories

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.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:45984Issues:303Issues:658

Grounded-Segment-Anything

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:14397Issues:115Issues:379

sam-hq

Segment Anything in High Quality [NeurIPS 2023]

Language:PythonLicense:Apache-2.0Stargazers:3583Issues:79Issues:132

recognize-anything

Open-source and strong foundation image recognition models.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:2649Issues:26Issues:154

SSL4MIS

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

Language:PythonLicense:MITStargazers:2105Issues:37Issues:87

semantic-segmentation

SOTA Semantic Segmentation Models in PyTorch

Language:PythonLicense:MITStargazers:808Issues:15Issues:58

irn

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

Language:PythonLicense:MITStargazers:520Issues:19Issues:47

TorchSemiSeg

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

Language:PythonLicense:MITStargazers:496Issues:7Issues:89

psa

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

Language:PythonLicense:MITStargazers:378Issues:10Issues:31

img_classification_pk_pytorch

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

PixelSSL

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

Language:PythonLicense:Apache-2.0Stargazers:289Issues:13Issues:11

ST-PlusPlus

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

Language:PythonLicense:MITStargazers:229Issues:6Issues:42

SegVit

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

Language:PythonLicense:NOASSERTIONStargazers:198Issues:2Issues:20

PS-MT

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

Language:PythonLicense:MITStargazers:182Issues:5Issues:42

Context-Aware-Consistency

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

Language:PythonLicense:MITStargazers:155Issues:5Issues:30

Awesome-Semi-Supervised-Semantic-Segmentation

A summary of recent semi-supervised semantic segmentation methods

AugSeg

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

BECO

Weakly-Supervised-Learning, Semantic Segmentation, CVPR 2023

PMM

Pseudo-mask Matters in Weakly-supervised Semantic Segmentation

Language:PythonLicense:MITStargazers:44Issues:2Issues:14

HrSegNet4CrackSegmentation

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

Language:PythonLicense:Apache-2.0Stargazers:42Issues:4Issues:13

OC-CSE

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

Language:PythonLicense:MITStargazers:39Issues:3Issues:7

AEFT

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

Language:PythonLicense:MITStargazers:27Issues:2Issues:7

CT-crackseg

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

Language:PythonLicense:MITStargazers:25Issues:3Issues:5

ACR

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

Language:PythonStargazers:19Issues:0Issues:0

UP-CrackNet

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

Language:PythonStargazers:7Issues:0Issues:0

HACNet

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

Language:PythonLicense:GPL-3.0Stargazers:4Issues:1Issues:0