elle1994 Goto Github PK

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bayesiancnn

Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference

c3d-keras

train C3D with keras for action recognition

crf

keras implementation of conditional random field

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

crfasrnn_keras

CRF-RNN Keras/Tensorflow version

curve-gcn

Official PyTorch code for Curve-GCN (CVPR 2019)

cvpr2019

cvpr2019 papers，极市团队整理

deep-mutual-learning

TensorFlow Implementation of Deep Mutual Learning

directionalfeature

Learning Directional Feature Maps for Cardiac MRI Segmentation (MICCAI2020)

dwt

Deep Watershed Transform for Instance Segmentation

emanet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fullnet-varce

Pytorch implementation of FullNet-varCE

geodesic_distance

geodesic distance transform of 2d/3d images

hrnet-keras-semantic-segmentation

keras-HRNet

hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

mobilenetv2

A Keras implementation of MobileNetV2.

modelsgenesis

Official Keras Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

multi-scale-attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

openseg.pytorch

The Pytorch code of OCNet series and SegFix.

polygon-rnn

Implementation of Polygon-RNN

polyrnn-pp

Inference Code for Polygon-RNN++ (CVPR 2018)

polyrnn-pp-pytorch

PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

segmentation_hrnet_keras

slic-superpixels

Implementation of the SLIC superpixel algorithm to work with OpenCV

train-crf-rnn

Train CRF-RNN for Semantic Image Segmentation