877 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.)

TFslim based semantic segmentation models, modular&extensible boutique design

No description or website provided.

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

Binary semantic segmentation with UNet based on MobileNetV2 encoder

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

Segmentation models with pretrained backbones. PyTorch.

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

Pytorch code for semantic segmentation using ERFNet

No description or website provided.

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Semantic image segmentation network with pyramid atrous convolution and boundary-aware loss for Tensorflow.

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

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

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

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

Machine Learning Project to identify an ID Card on an image

A PyTorch Implementation of MobileNetv2+DeepLabv3

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

An awesome semantic segmentation model that runs in real time

CRF-RNN PyTorch version http://crfasrnn.torr.vision

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.

Sandbox for training deep learning networks

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

Switchable Normalization for semantic image segmentation and scene parsing.

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

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

[ICIP 2019] : This is the official github repository for the paper "What's There in The Dark" accepted in IEEE International Conference in Image Processing 2019 (ICIP19) , Taipei, Taiwan.

CNNs for semantic segmentation using Keras library

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.

Tensorflow implementation : U-net and FCN with global convolution

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.

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

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

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

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

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

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

Official PyTorch implementation of SegFormer

No description or website provided.

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.

Implementation details for EDANet

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

SOTA Semantic Segmentation Models in PyTorch

Light-weight Single Person Pose Estimator

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

HyperSeg - Official PyTorch Implementation

BlindAssist iOS app

Cut and paste augmentation for object detection and instance segmentation

AttaNet for real-time semantic segmentation.

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

quick and dirty benchmark for TFLite gles delegate on iOS

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos

caffe based mobilenet v2 deploy

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

Add bisenetv2. My implementation of BiSeNet