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Code release for Hu et al., Language-Conditioned Graph Networks for Relational Reasoning. in ICCV, 2019
[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'.
Rewrite the LOUPE library (https://github.com/antoine77340/LOUPE) into Keras version. Many learnable pooling or differentiable aggregation methods are covered. (NetVLAD, NetRVLAD, SoftDBoW, NetFV, CG)
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
Per-Pixel Classification is Not All You Need for Semantic Segmentation
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
Open MMLab Detection Toolbox and Benchmark
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Models and examples built with TensorFlow
NetVLAD: CNN architecture for weakly supervised place recognition
PyTorch implementation of NetVLAD & Online Hardest Triplet Loss.
The paper list of person attribute recognition
Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).
Pyramid Scene Parsing Network, CVPR2017.
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
http://openaccess.thecvf.com/content_cvpr_2017/papers/Fu_Look_Closer_to_CVPR_2017_paper.pdf
Relation Networks for Object Detection
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Nvidia Semantic Segmentation monorepo
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Algorithms to calculate the similarity between chinese characters
Succinct Interest Points from Unsupervised Inlierness Probability Learning
SOLO: Segmenting Objects by Locations https://arxiv.org/abs/1912.04488
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
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.