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This is an implement of ACE: Adapting to Changing Environments for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Multi-Person Pose Estimation System
:metal: awesome-semantic-segmentation
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
BlockDrop: Dynamic Inference Paths in Residual Networks
:green_book:我的个人书籍学习和收藏
Fully Convolutional Instance-aware Semantic Segmentation
订阅地址🚀 免费共享♻️ 定期更新✨ 科学上网🌈 请勿滥用🚫一键订阅📪SSR/CLASH/V2RAY
Statistics of acceptance rate for the main AI conference
Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.
A collection of dataset loaders
Deep Feature Flow for Video Recognition
A collection of deep learning based localization models
Deformable Convolutional Networks
Deformable ConvNets V2 (DCNv2) in PyTorch
End-to-End Object Detection with Transformers
Extract spatio-temporal correlations on DukeMTMC dataset
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
Exploring the Limits of Masked Visual Representation Learning at Scale (https://arxiv.org/abs/2211.07636)
Visually Explainable VAE
Mirror of git://source.ffmpeg.org/ffmpeg.git
Flops counter for convolutional networks in pytorch framework
PyTorch API for GluonCV Models
PyTorch Implementation of GraphTSNE, ICLR’19
This easy-to-use library is a data transformer sometimes useful in Object Detection and Segmentation tasks. With only a few lines of code, one can slice images and their bounding box annotations into smaller tiles, both into specific sizes and into any arbitrary number of equal parts. The tool also supports resizing of images and their bounding box
Learning What and Where to Transfer (ICML 2019)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.