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Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020
Google Brain AutoML
In this project, we focus on collection the anchor free object detection paper or code.
A curated list of resources for Learning with Noisy Labels
:metal: awesome-semantic-segmentation
Composite Backbone Network
Object detection, 3D detection, and pose estimation using center point detection:
The standard package for machine learning with noisy labels and finding mislabeled data in Python.
An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’
Dual Attention Network for Scene Segmentation (CVPR2019)
A paper list of object detection using deep learning.
Deformable Convolutional Networks
Learning Efficient GANs using Differentiable Masks and Co-Attention Distillation
Scene Segmentation with Dual Relation-aware Attention Network (TNNLS2020)
Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)
fcos implementation in pytorch1.x
这个仓库存放(在模仿中精进数据可视化)系列文章代码及数据附件内容
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
The implementation of paper "Gliding vertex on the horizontal bounding box for multi-oriented object detection".
Official PyTorch implementation of HANet (CVPR 2020)
This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
An implementation of (Induced) Set Attention Block, from the Set Transformers paper
Official repository for "iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images" (CVPR'19 Workshops -- Oral)
IterDet: Iterative Scheme for Object Detection in Crowded Environments
Several knowledge graph representation algorithms implemented with pytorch
With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Mish Activation Function for PyTorch
📋 Survey papers summarizing advances in machine learning.
OpenMMLab Image Classification Toolbox and Benchmark
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.