475 Open source projects that are alternatives of or similar to Intrada

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

[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

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

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

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

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

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

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

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

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

Fully Convolutional HarDNet for Segmentation in Pytorch

Be Driven 🚘

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

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

Repository for Paper: Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation (TCSVT20)

image (semantic segmentation) instance segmentation by darknet or yolo

Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification (ICCV 2019, Oral)

Another pytorch implementation of FCN (Fully Convolutional Networks)

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

python 3 pytorch implementation of DANN

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

A large-scale dataset for face parsing (AAAI2020)

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

Sandbox for training deep learning networks

C++ based toolbox for the SUNCG dataset

Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

SegAN: Semantic Segmentation with Adversarial Learning

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

embedding and grouping pixels into boundary, proposal, segment and object instance.

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

Simplest and fastest image and text annotation tool.

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

《迁移学习简明手册》LaTex源码

code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

Domain Adaptive Faster R-CNN in PyTorch

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

Collection of computer vision models, ready to be included in a JVM project

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

PyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Satellite Image Classification using semantic segmentation methods in deep learning