zhxtu's Stars
google-research/google-research
Google Research
qubvel/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
zotero-chinese/styles
中文 CSL 样式
CoinCheung/pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
lucasb-eyer/pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
yassouali/awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
hszhao/semseg
Semantic Segmentation in Pytorch
nv-tlabs/GSCNN
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
adalca/medical-datasets
tracking medical datasets, with a focus on medical imaging
Visual-Attention-Network/SegNeXt
Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)
LIVIAETS/boundary-loss
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
WXinlong/DenseCL
Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.
tfzhou/ProtoSeg
CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View
lhoyer/HRDA
[ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
lorenmt/reco
The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].
hzhupku/SemiSeg-AEL
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)
GuoleiSun/VSS-CFFM
Code for CVPR 2022 paper: Coarse-to-Fine Feature Mining for Video Semantic Segmentation
wangchi95/active-boundary-loss
Official repository for Active Boundary Loss for Semantic Segmentation.
lihaoliu-cambridge/unsupervised-medical-image-segmentation
Code for "Contrastive Registration for Unsupervised Medical Image Segmentation".
ixzhao/BUAA_Dissertation_Template
北航硕博研究生毕业设计论文模板(Word)
neerakara/test-time-adaptable-neural-networks-for-domain-generalization
Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"
sssdddwww2/vspw_dataset_download
CVPR2021 VSPW dataset download links
FupingWu90/VarDA
evanmy/sae
Accepted in MIDL 2020
mtianyan/tensorflow-linux-wheel
(cuda9.2 +cudnn7.1.4 )Performance-optimized wheels for TensorFlow On Linux System
jizongFox/deep-clustering-toolbox
PyTorch Vision Toolbox not only for deep-clustering
RViMLab/ECCV2022-multi-scale-and-cross-scale-contrastive-segmentation
Implementation of the methods described in "Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation", ECCV 2022
jizongFox/Self-paced-Contrastive-Learning
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021
Steve-Tod/STFC3
YaphetS1/tensorflow-linux-wheel
(cuda9.2 +cudnn7.4.2) Performance-optimized wheels for TensorFlow On Linux System