428 Open source projects that are alternatives of or similar to Deeplab_v3_plus

常用的语义分割架构结构综述以及代码复现

A curated list of awesome data labeling tools

Label Studio is a multi-type data labeling and annotation tool with standardized output format

unet for rgb images semantic segmentation

DeepLab resnet v2 model in pytorch

Tools to Design or Visualize Architecture of Neural Network

CRF-RNN Keras/Tensorflow version

TFslim based semantic segmentation models, modular&extensible boutique design

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

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

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

最新版ffmpeg3.3-android，并通过CMake方式移植到Android中,并实现编解码，转码，推拉流，滤镜等各种功能

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

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

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

Gluon CV Toolkit

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

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

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

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

tensorflow version of unet

Pytorch for Segmentation

generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Bangla Machine Translator

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

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

BERT for Multitask Learning

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

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

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.

A semantic segmentation toolbox based on PyTorch

CNNs for semantic segmentation using Keras library

Multiple implementations for abstractive text summurization , using google colab

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

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

🤘 awesome-semantic-segmentation

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

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

PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)

PSPNet in Chainer

An out-of-box human parsing representation extractor.

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

BCDU-Net : 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.

Conversation models in TensorFlow. (website removed)

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

real-time network architecture for mobile devices and semantic segmentation

Semantic segmentation on iPhone using ESPNetv2

Semantic segmentation models, datasets and losses implemented in PyTorch.

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

Lightweight desktop screen recorder for Windows.

DeepLab-ResNet rebuilt in TensorFlow

Segmentation of ID Cards using Semantic Segmentation