deeplabv3plus

rishizek/tensorflow-deeplab-v3-plus

DeepLabv3+ built in TensorFlow

linksense/LightNet

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

LikeLy-Journey/SegmenTron

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)

AllentDan/LibtorchSegmentation

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

zgcr/SimpleAICV_pytorch_training_examples

SimpleAICV:pytorch training and testing examples.

Media-Smart/vedaseg

A semantic segmentation toolbox based on PyTorch

CoinCheung/DeepLab-v3-plus-cityscapes

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).

lattice-ai/DeepLabV3-Plus

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

mjDelta/deeplabv3plus-keras

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

TachibanaYoshino/Remote-sensing-image-semantic-segmentation-tf2

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.

dontLoveBugs/Deeplab_pytorch

All version of deeplab implemented in Pytorch

mberkay0/clothing-segmentation

Clothing segmentation with DeepLabV3+

TangYong1975/deeplabv3-swintransformer

nikhilroxtomar/Remove-Photo-Background-using-TensorFlow

In this program, we are using image segmentation to remove the background from photos.

cavalleria/humanseg.pytorch

Human segmentation project(pytorch)

runrunrun1994/ncnn-android-deeplabv3plus

The deeplabv3+ person segmentation android example.

runrunrun1994/Person_Segmentation

The inference implementation of the deeplabV3+ person segementation algorithm.

TanyaChutani/DeepLabV3Plus-Tf2.x

A Tensorflow implementation of Deep Lab V3 Plus from scratch.

J911/DeepLabV3Plus-for-Beginners

DeepLabV3Plus for Beginners in Cityscapes Dataset

lehduong/Knowledge-Distillation-by-Replacing-Cheap-Conv

In search of effective and efficient Pipeline for Distillating Knowledge in Convolutional Neural Networks

chansoopark98/Tensorflow-Keras-Semantic-Segmentation

Tensorflow-Keras semantic segmentation

MjdMahasneh/Simple-PyTorch-Semantic-Segmentation-CNNs

PyTorch Implementation of Semantic Segmentation CNNs: This repository features key architectures like UNet, DeepLabv3+, SegNet, FCN, and PSPNet. It's crafted to provide a solid foundation for Semantic Segmentation tasks using PyTorch.

GokulVSD/MonoDAC

Monocular Depth Estimation via a Fully Convolutional Deep Neural Network, utilising Atrous Convolutions, with 3D Point Cloud Visualisation.

yanfengliu/embedding_tracking

Source code for "Amodal Instance Segmentation and Multi-Object Tracking with Deep Pixel Embedding"

tshr-d-dragon/Semantic_Segmentation_Models

I am aiming to write different Semantic Segmentation models from scratch with different pretrained backbones.

zhulf0804/Deeplabv3plus-Tensorflow

A Tensorflow implementation of Deeplabv3+ trained on VOC2012.

big-lazy-cat/seismic-facies-identification

3rd place solution of Seismic Facies Identification Challenge

Hexmagic/LaneDetection

百度车道线比赛

vinayakpahalwan7/deeplab-demo

Image segmentation using deeplab

naivomah3/lab-cv

Implementation of state-of-the-art models to do segmentation over our own dataset.

Rohit8y/Semantic-Segmentation-Forestry

Fine-tune and evaluate deep learning models built with PyTorch for semantic segmentation of trees from satellite imagery of forestry areas.

chboey/FloralNet

DeepLab v3+ and Floral-Net, a U-Net inspired CNN, for segmenting flowers and backgrounds in the Oxford Flower Dataset, enhancing accuracy through tailored architecture and class imbalance handling.

leaderj1001/minimal-segmentation

minimal-segmentation

Neurojedi/DeepLabV3Plus-TF-Backbones

This project extends support for DeepLabV3+ implementation on TensorFlow with multiple backbones, including: ResNet50/101/V2, DenseNet121/169, MobileNet/V2, and VGG16/19.

sunandhini96/Water_body_segmentation-DeepLabV3plus

This repo hosts the water body extraction from satellite images using DeeplabV3+ model.