wuhan2020rs,github

advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bisenet

Implementation of BiSeNet and BiSeNetV2

brainstorm

Fast, flexible and fun neural networks.

caffe

Caffe: a fast open framework for deep learning.

cam

Class Activation Mapping

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

deepglobe_land_cover_classification_with_deeplabv3plus

DeepGlobe Land Cover Classification Challenge遥感影像语义分割

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningpython

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

earthmapper

Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

ern

Edge Loss Reinforced Semantic Segmentation Network for Remote Sensing Images

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fcn.berkeleyvision.org

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

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gan-segmentation

Using GANs to improve synthetic data for semantic segmentation problems.

grad-cam-tensorflow

tensorflow implementation of Grad-CAM (CNN visualization)

grad_cam_plus_plus

A generalized gradient-based CNN visualization technique

hed

code for Holistically-Nested Edge Detection

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)

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mlp-mixer-pytorch

An All-MLP solution for Vision, from Google AI

models

Models and examples built with TensorFlow

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