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

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

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

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

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

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

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

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

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

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

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

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).

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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

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

Deep Learning sample programs using PyTorch in C++

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

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

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

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

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

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

SegSort: Segmentation by Discriminative Sorting of Segments

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

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.

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

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

PyTorch for Semantic Segmentation

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

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

image (semantic segmentation) instance segmentation by darknet or yolo

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

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

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

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

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

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

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

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

Tensorflow implementation : U-net and FCN with global convolution

Generic U-Net Tensorflow 2 implementation for semantic segmentation

C++ based toolbox for the SUNCG dataset

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

train test labels for sunrgbd

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

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

A PyTorch Detectron codebase for domain adaptation of object detectors.

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

Another pytorch implementation of FCN (Fully Convolutional Networks)

Domain Adaptive Faster R-CNN in PyTorch

A simpler way of reading and augmenting image segmentation data into TensorFlow

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

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

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+

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

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

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