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Name: Defa Zhu
Type: User
Bio: deep learning & computer vision
Name: Defa Zhu
Type: User
Bio: deep learning & computer vision
Reinforcement learning resources curated
awesome-semantic-segmentation
we propose a novel and efficient cross-domain human parsing model to bridge the cross-domain differences in terms of visual appearance and environment conditions and fully exploit commonalities across domains. Our proposed model explicitly learns a feature compensation net-work, which is specialized for mitigating the cross-domain differences. A discriminative feature adversarial network is introduced to supervise the feature compensation to effectively reduces the discrepancy between feature distributions of two domains. Besides, our proposed model also introduces a structured label adversarial network to guide the parsing results of the target domain to follow the high-order relationships of the structured labels shared across domains. The proposed framework is end-to-end trainable, practical and scalable in real applications. Extensive experiments are con- ducted where LIP dataset is the source domain and 4 different datasets including surveillance videos, movies and run- way shows without any annotations, are evaluated as target domains. The results consistently confirm data efficiency and performance advantages of the proposed method for the challenging cross-domain human parsing problem.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Python script to put facial features from one face onto another
Open Source Differentiable Computer Vision Library for PyTorch
A makeup method via GAN
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
Synthesizing and manipulating 2048x1024 images with conditional GANs
PyTorch implementations of Generative Adversarial Networks.
pytorch implementation of projection-sngan
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
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.