444 Open source projects that are alternatives of or similar to Pytorch Fcn

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

Tensorflow implementation : U-net and FCN with global convolution

segmentation repo using pytorch

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

Implementation details for EDANet

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

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

Pixel-wise segmentation on VOC2012 dataset using pytorch.

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

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

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

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

常用的语义分割架构结构综述以及代码复现

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

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.

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

DL & CV & Neural Network

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.

CNNs for semantic segmentation using Keras library

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Semantic segmentation on iPhone using ESPNetv2

Segmentation of ID Cards using Semantic Segmentation

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

Pytorch implementation of GCN architecture for semantic segmentation

The deep semantic segmentation network for lane segmentation.

An open source framework for deep learning on satellite and aerial imagery.

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.

A curated list of awesome data labeling tools

Paper Lists for Graph Neural Networks

Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

Image Captioning: Implementing the Neural Image Caption Generator with python

The ROS Package of Mask R-CNN for Object Detection and Segmentation

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

End-to-end image segmentation kit based on PaddlePaddle.

Implementation of RefineNet to perform real time instance segmentation in the browser using TensorFlow.js

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

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

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

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

🤘 awesome-semantic-segmentation

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

doing audio digital signal processing in tensorflow to try to recreate digital audio effects