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The meta2d.js is real-time data exchange and interactive web 2D engine. Developers are able to build Web SCADA, IoT, Digital twins and so on. Meta2d.js是一个实时数据响应和交互的2d引擎，可用于Web组态，物联网，数字孪生等场景。
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Image-to-Image Translation in PyTorch
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
a pytorch version for SIFA, Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
[TMI'20, AAAI'19] Synergistic Image and Feature Adaptation
基于Pytorch实现优秀的自然图像分割框架！(包括FCN、U-Net和Deeplab)
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
这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。
Code for the Lovász-Softmax loss (CVPR 2018)
【飞桨学习赛：遥感影像地块分割】22年7月第一名方案，可提供复现精度66.18分，项目亮点：全程基于PaddleSeg开发，有效的数据增强手段，有效的数据集处理手段，基于SegFormer的Decoder更改。
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。
这是一个deeplabv3-plus-keras的源码，可以用于训练自己的模型。
这是一个deeplabv3-plus-tf2的源码，可以用于训练自己的模型。
DeepLabv3 and DeepLabv3+ with pretrained weights for Pascal VOC & Cityscapes
Official implement of Paper：A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sening images
[ISPRS Journal of Photogrammetry and Remote Sensing, 2022] ResDepth: A Deep Residual Prior For 3D Reconstruction From High-resolution Satellite Images
1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime