867 Open source projects that are alternatives of or similar to Lightnet

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

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

TFslim based semantic segmentation models, modular&extensible boutique design

Pytorch code for semantic segmentation using ERFNet

No description or website provided.

Implementation details for EDANet

SOTA Semantic Segmentation Models in PyTorch

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

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

Add bisenetv2. My implementation of BiSeNet

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

No description or website provided.

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

caffe based mobilenet v2 deploy

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

Official PyTorch implementation of SegFormer

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

Machine Learning Project to identify an ID Card on an image

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

segmentation paper reading notes

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Sandbox for training deep learning networks

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Understanding Convolution for Semantic Segmentation

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

BlindAssist iOS app

An awesome semantic segmentation model that runs in real time

AttaNet for real-time semantic segmentation.

HyperSeg - Official PyTorch Implementation

Cut and paste augmentation for object detection and instance segmentation

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Segmentation models with pretrained backbones. PyTorch.

No description or website provided.

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Binary semantic segmentation with UNet based on MobileNetV2 encoder

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

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

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

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

BCDU-Net : Medical Image Segmentation

Code for https://arxiv.org/abs/1611.10080

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

MobileNetV3 in pytorch and ImageNet pretrained models

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

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