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drn

Dilated Residual Networks

ecbsr

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

edgenets

This repository contains the source code of our work on designing efficient CNNs for computer vision

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

egnet

EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019)

erf-pspnet

ERF-PSPNET implemented by tensorflow

erfnet_pytorch

seg

erfnet_segmentation

My own Implementation of the ERFNet Semantic Segmentation architecture in Tensorflow, trained on the CamvidDataset

espnet

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

espnetv2

A light-weight, power efficient, and general purpose convolutional neural network

etc-real-time-per-frame-semantic-video-segmentation

Enforcing temporal consistency in real-time per-frame semantic video segmentation

examples

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

ext_portrait_segmentation

extportraitseg

fast_portrait_segmentation

Fast (aimed to "real time") Portrait Segmentation on mobile phone

fastfcn

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

fastmattingportrait

Pytorch implementation of Fast Deep Matting for Portrait Animation on Mobile Phone paper

fcn

This is a Pytorch implementation of FCN8s[1] for semantic segmentation.

fsrcnn-tensorflow

An implementation of the Fast Super-Resolution Convolutional Neural Network in TensorFlow

fully-convolutional-networks

Fully Convolutional Networks for Portrait Matting

global_convolutional_network

Pytorch implementation of GCN architecture for sematic segmentation

gmseg

Spinal cord gray matter segmentation using deep dilated convolutions.

grfp

Code for the CVPR 2018 paper "Semantic Video Segmentation by Gated Recurrent Flow Propagation"

heartbeat-ios

A collection of experiences utilizing machine learning models with Fritz

hrnet-semantic-segmentation

High-resolution representation learning (HRNets) for Semantic Segmentation

idn-pytorch

paper implement : Fast and Accurate Single Image Super-Resolution via Information Distillation Network

indoor-segmentation

Indoor segmentation for robot navigating, based on tensorflow deeplab model

jit-masker

lednet-person-portrait-real-time-efficient-segmentation

lightnet

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