980380446,github

3d-deep-learning

3D Deep Learning works

awesome-knowledge-distillation

Awesome Knowledge Distillation

bisenet

mIOU=78.4 on cityscapes. My implementation of paper: BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

cgnet

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [arXiv preprint arXiv:1811.08201]

ebook

classic books of computer science

espnet

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

fast-scnn-pytorch

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

fastfcn

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

gald-net

Source code and models of GALD net

hdrnet

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

hrnet-semantic-segmentation

High-resolution representation learning (HRNets) for Semantic Segmentation

lednet

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

lightnet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

mask_rcnn

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

pspnet

Pyramid Scene Parsing Network, CVPR2017.

python

All Algorithms implemented in Python

pytorch-enet

PyTorch implementation of ENet

real-time-semantic-segmentation

lightweight and efficient cnn for semantic segmentation

rednet

This is an official release of the RedNet architecture.

riscv-gnu-toolchain

GNU toolchain for RISC-V, including GCC

segmentation

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

semantic-segmentation-suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

torchseg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

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