383 Open source projects that are alternatives of or similar to Pytorch Semantic Segmentation

DL & CV & Neural Network

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

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.

TFslim based semantic segmentation models, modular&extensible boutique design

常用的语义分割架构结构综述以及代码复现

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

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

Pixel-wise segmentation on VOC2012 dataset using pytorch.

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

Tensorflow implementation : U-net and FCN with global convolution

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

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

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

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

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

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

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

Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"

🤘 awesome-semantic-segmentation

Semantic Scene Completion

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

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

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.

Using modified BiSeNet for face parsing in PyTorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Model for document segmentation trained on the midv-500-models dataset.

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

tensorflow version of unet

Pytorch implementation of GCN architecture for semantic segmentation

A Kitti Road Segmentation model implemented in tensorflow.

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

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

PyTorch implementation of PSPNet

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Deep Label Distribution Learning with Label Ambiguity

Web labeling tool for bitmap images and point clouds

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

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

The deep semantic segmentation network for lane segmentation.

Semantic segmentation on iPhone using ESPNetv2

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

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

3D U-Net model for volumetric semantic segmentation written in pytorch

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

unet for rgb images semantic segmentation

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

PyTorch Implementations for DeeplabV3 and PSPNet

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

Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".

Semantic segmentation models, datasets and losses implemented in PyTorch.

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

FCN for semantic segmentation

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)

Segmentation of ID Cards using Semantic Segmentation

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

Real-Time Semantic Segmentation in Mobile device