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Name: PL
Type: User
Name: PL
Type: User
This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
The pytorch improved re-implementation of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
Action recognition using soft attention based deep recurrent neural networks
Code for BMVC paper "Joint Action Unit localisation and intensity estimation through heatmap regression"
An optimizer that trains as fast as Adam and as good as SGD.
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
an unofficial pytorch implementation of ICCV 2019 paper "Disentangled Image Matting"
[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Visual applications
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (CVPR 2017)
[CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
A pytorch implementations of Adversarial attacks and utils
This is a pytorch implementation of the CVPR2020 paper: Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
Implementation of Papers on Adversarial Examples
A-Fast-RCNN (CVPR 2017)
Code base for our paper " Adversarial Scene Editing: Automatic Object Removal from Weak Supervision" appearing in NIPS 2018.
Code for the paper: Adversarial Training against Location-Optimized Adversarial Patches. ECCV CVCOPS 2020 (to appear)
The classical Papers about adversial nets
A Toolbox for Adversarial Robustness Research
Deep Aerial Image Recognition
Augmenting with Language-guided Image Augmentation
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
This project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018
A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.
[ECCV 2018] PyTorch implementation for AMC: AutoML for Model Compression and Acceleration on Mobile Devices.
semantic segmentation,pytorch,non-local
Adversarially Occluded Samples for Person Re-identification, CVPR 2018
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.