425 Open source projects that are alternatives of or similar to Deeplab Pytorch

常用的语义分割架构结构综述以及代码复现

real-time network architecture for mobile devices and semantic segmentation

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)

Pytorch code for semantic segmentation using ERFNet

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

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

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

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

Mask RCNN in TensorFlow

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

A curated list of resources focused on Machine Learning in Geospatial Data Science.

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

Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

🚘 Easiest Fully Convolutional Networks

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Reimplementation of DeepLabV3

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

OpenMMLab Pose Estimation Toolbox and Benchmark.

Implementation of "Automatic Portrait Segmentation" and "Deep Automatic Portrait Matting" with Chainer.

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

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

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.)

Lip and hair color editor using face parsing maps.

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

Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.

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

proof-of-concept program that detects rail-track with semantic segmentation for autonomous train system

A light-weight, power efficient, and general purpose convolutional neural network

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Two-stage CenterNet

A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.

Real-Time 3D Semantic Reconstruction from 2D data

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

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

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Pixel-wise segmentation on VOC2012 dataset using pytorch.

PyTorch implementation of "Pyramid Scene Parsing Network".

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

"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.

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)

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

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime

Helper functions to create COCO datasets

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

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

This repository contains the reference implementation for our proposed Convolutional CRFs.

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

High-level batteries-included neural network training library for Pytorch

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

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

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Object Detection