475 Open source projects that are alternatives of or similar to Dise Domain Invariant Structure Extraction

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

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

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

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

📚 A collection of papers about Referring Image Segmentation.

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

End-to-end image segmentation kit based on PaddlePaddle.

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

An open source framework for deep learning on satellite and aerial imagery.

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

Inference pipeline for the CVPR paper entitled "Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer" (http://www.atapour.co.uk/papers/CVPR2018.pdf).

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

Deep learning applied to georeferenced datasets

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

lightweight and efficient cnn for semantic segmentation, my blog address:

FrostNet: Towards Quantization-Aware Network Architecture Search

CRF-RNN PyTorch version http://crfasrnn.torr.vision

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.

Tensorflow implementation : U-net and FCN with global convolution

PyTorch for Semantic Segmentation

ImageNet-R(endition) and DeepAugment

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

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

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

RefineNet-101 VOC in PyTorch

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

PSPNet in Chainer

DeepLab-ResNet rebuilt in TensorFlow

Tools to Design or Visualize Architecture of Neural Network

segmentation repo using pytorch

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020