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

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

Semantic segmentation on iPhone using ESPNetv2

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

Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"

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

Pytorch implementation of GCN architecture for semantic segmentation

Deep learning applied to georeferenced datasets

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

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

The ROS Package of Mask R-CNN for Object Detection and Segmentation

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

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

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+

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

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

🤘 awesome-semantic-segmentation

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

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.

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

PyTorch implementation of PSPNet

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

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

FrostNet: Towards Quantization-Aware Network Architecture Search

Source code for "Vocal melody extraction with semantic segmentation and audio-symbolic domain transfer learning".

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

SegNet implementation & experiments in Chainer

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

parsing scene images with understanding geometric perspective in the loop

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"

Tensorflow implementation : U-net and FCN with global convolution

Semantic Scene Completion

ImageNet-R(endition) and DeepAugment

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

PyTorch for Semantic Segmentation

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

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Using modified BiSeNet for face parsing in PyTorch

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy 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 PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

Web labeling tool for bitmap images and point clouds

RefineNet-101 VOC in PyTorch

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

DeepLab-ResNet rebuilt in TensorFlow

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Tools to Design or Visualize Architecture of Neural Network

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

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

segmentation repo using pytorch

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

PyTorch Implementations for DeeplabV3 and PSPNet

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

A PyTorch Detectron codebase for domain adaptation of object detectors.

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.

Transfer-Learning-Library

Semantic segmentation models, datasets and losses implemented in PyTorch.

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)