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

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

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

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

DeepLab-ResNet rebuilt in TensorFlow

DeepLabv3 built in TensorFlow

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

DeepLab resnet v2 model in pytorch

PSPNet in Chainer

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

DeepLab-LargeFOV implemented in tensorflow

HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)

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

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Reimplementing cool papers in PyTorch...

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

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

The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)

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

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

[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.

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

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

DL & CV & Neural Network

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

segmentation paper reading notes

(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

Volumetric Fusion of Multiple Semantic Labels and Masks

Binary semantic segmentation with UNet based on MobileNetV2 encoder

Building footprint segmentation from satellite and aerial imagery

This is a fully convolutional neural net exercise to detect houses from aerial images.

A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains (IJCV submission)

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

Deep Learning for Computer Vision (CommE 5052) in NTU

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

A pointnet++ fork, with focus on semantic segmentation of differents datasets

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

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

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

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

Semantically segment the road in the given image.

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program

Focal Loss for Dense Object Detection.

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

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

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

Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

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

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

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

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

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Summary of RGBT SOD and SS.