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Name: kaili
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Name: kaili
Type: User
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
Google Brain AutoML
:books: A collection of edge/contour/boundary detection papers and toolbox.
A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习:论文、代码、框架与库
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。
A curated list of long-tailed recognition resources.
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection
CarNet is a fast pavement crack detector which achieves excellent accuracy.
This project contains our three crack detection datasets,i.e., Sun520, Rain365, and BJN260.
Class-Balanced Loss Based on Effective Number of Samples
Code release for ConvNeXt model
code and model of Pyramid Feature Selective Network for Saliency detection
Torch implementation of DeepMask and SharpMask
Dilated Residual Networks
EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019)
A light-weight, power efficient, and general purpose convolutional neural network
This repo provides :zap: fast:zap: semantic segmentation models on CityScapes/Camvid DataSet by Pytorch
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
Few Shot Semantic Segmentation Papers
Google AI Research
Face Analysis Project on MXNet
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
Keras implementation of Deeplab v3+ with pretrained weights
Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation(Unfinished)
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.
[CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim
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.