773 Open source projects that are alternatives of or similar to Pytorch Fcn Easiest Demo

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

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

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

DL & CV & Neural Network

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

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Deep learning applied to georeferenced datasets

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Tools to Design or Visualize Architecture of Neural Network

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

常用的语义分割架构结构综述以及代码复现

segmentation repo using pytorch

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

Pixel-wise segmentation on VOC2012 dataset using pytorch.

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

TFslim based semantic segmentation models, modular&extensible boutique design

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Tensorflow implementation : U-net and FCN with global convolution

Collection of computer vision models, ready to be included in a JVM project

Notes for Deep Learning Specialization Courses led by Andrew Ng.

An open source library for face detection in images. The face detection speed can reach 1000FPS.

基于CNN的验证码整体识别

Attention-guided CNN for image denoising(Neural Networks,2020)

Noise-Tolerant Paradigm for Training Face Recognition CNNs

RefineNet-101 VOC in PyTorch

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

A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.

Deep Learning--深度学习

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

PyTorch implementation of SIFT descriptor

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

Object localization in images using simple CNNs and Keras

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

PyTorch implementation of LeNet-5 with live visualization

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

SegSort: Segmentation by Discriminative Sorting of Segments

用 Tensorflow.js 猜猜我的女朋友在想什么. A Tensorflow.js application for facial classification.

A Unified Convolutional Neural Network Approach of Gesture Recognition and Fingertip Detection.

Source codes and corpora of paper "Iterated Dilated Convolutions for Chinese Word Segmentation"

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

Object classification with CIFAR-10 using transfer learning

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)

TensorFlow code for finetuning I3D model on UCF101.

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

lightweight and efficient cnn for semantic segmentation, my blog address: