Beckschen

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

nnUNet

awesome-ai-residency

List of AI Residency Programs

learn2learn

A PyTorch Library for Meta-learning Research

PyTorch-Encoding

A CV toolkit for my papers.

SOTA-MedSeg

SOTA medical image segmentation methods based on various challenges

Synchronized-BatchNorm-PyTorch

Synchronized Batch Normalization implementation in PyTorch.

Awesome-Edge-Detection-Papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Efficient-3DCNNs

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

noisystudent

Code for Noisy Student Training. https://arxiv.org/abs/1911.04252

MaskTextSpotterV3

The code of "Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting"

H-DenseUNet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

CCT

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

stefann

:fire: [CVPR 2020] STEFANN: Scene Text Editor using Font Adaptive Neural Network (official code).

Learning-Loss-for-Active-Learning

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

EfficientNet-PyTorch-3D

A PyTorch implementation of EfficientNet

classification_models_3D

Set of models for classifcation of 3D volumes

SRC-MT

[TMI'20] Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model

DSRL

Dual Super-Resolution Learning for Semantic Segmentation

MS-Net

[TMI'20] Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data

efficientnet_3D

EfficientNets in 3D variant for keras and TF.keras

laploss

Laplacian Pyramid Loss

Learning-Loss-for-Active-Learning-Pytorch

Learning Loss for Active Learning Pytorch Implementation,(reproduction)

himself65-waka-box

HDenseUet

H-DenseUnet pytorch implementation

v4r-plot

For a better scientific drawing pipeline in MATLAB 😀 or Python

siamese-segmentation

Image co-segmentation with a Siamese Neural Network based off of CoSegNet