398 Open source projects that are alternatives of or similar to Tensorflow Deeplab V3

DeepLab-ResNet rebuilt in Pytorch

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

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

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

DeepLab resnet v2 model in pytorch

DeepLab-ResNet rebuilt in TensorFlow

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

PSPNet in Chainer

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

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

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

Volumetric Fusion of Multiple Semantic Labels and Masks

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

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

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

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

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

segmentation paper reading notes

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

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

Binary semantic segmentation with UNet based on MobileNetV2 encoder

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

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

Reimplementing cool papers in PyTorch...

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

DL & CV & Neural Network

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

Focal Loss for Dense Object Detection.

Convert between visual object detection datasets

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

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

FC-DenseNet in PyTorch for Semantic Segmentation

WIDER FACE annotations converted to the Pascal VOC XML format

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

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

Lip and hair color editor using face parsing maps.

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

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

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

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

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

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

PyTorch implementation of "Pyramid Scene Parsing Network".

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

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

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

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

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

[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.

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

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

Building footprint segmentation from satellite and aerial imagery

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

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

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.

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