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A-Fast-RCNN (CVPR 2017)
A curated list of deep learning image classification papers and codes
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Panoptic Segmentation Paper List.
:metal: awesome-semantic-segmentation
Codes for Learning Affinity via Spatial Propagation Networks
CCNet achieves the state-of-the-art performance on Cityscapes and ADE20K.
Object detection, 3D detection, and pose estimation using center point detection:
An Indoor Fingerprinting Localization Algorithm which uses CSI from wifi
Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Dense Relation Network: Learning Consistent and Context-Aware Representation For Semantic Image Segmentation. Modification of DRN source code
Mask RCNN in TensorFlow
Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
A New Optimization Technique for Deep Neural Networks
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Meta-SGD experiment on Omniglot classification compared with MAML
Open MMLab Detection Toolbox and Benchmark
This is a knowledge distillation toolbox based on mmsegmentation.
Pyramid Stereo Matching Network (CVPR2018)
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
A collection of loss functions for medical image segmentation
Spectral segmentation described in Aksoy et al., "Semantic Soft Segmentation", ACM TOG (Proc. SIGGRAPH), 2018
Squeeze-and-Excitation Networks
天池雪浪布匹瑕疵检测,复赛线上746,排名14/2403
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.