mahlermozart Goto Github PK
Type: User
Type: User
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Slowing Down the Weight Norm Increase in Momentum-based Optimizers
Code for https://arxiv.org/abs/1611.10080
A Deep Learning based project for creating line art portraits.
A curated list of background subtraction related papers and resources
nonofficial implementation of paper "Boundary-Aware Network for Fast and High-Accuracy Portrait Segmentation"
Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection
Python code for the fast bilateral solver
Implementation of several state of the art methods for Binary Segmentation in PyTorch
Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn
A tensorflow implementation of Boundary-Aware Network for Fast and High-Accuracy Portrait Segmentation
Official implementation of Efficient Cascading Residual Network for SR
[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..
CGNet: A Light-weight Context Guided Network for Semantic Segmentation [arXiv preprint arXiv:1811.08201]
CondenseNet: Light weighted CNN for mobile devices
Evaluating efficiency of several types of convolutions
Code for our CVPR2021 paper coordinate attention
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)
Channel-wise Distillation for Semantic Segmentation
data augmentation repo for semantic segmentation
Deep Back-Projection Networks for Super-Resolution
Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
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.