jawae Goto Github PK
Name: Samuel
Type: User
Company: University of North Carolina
Location: Chapel Hill
Name: Samuel
Type: User
Company: University of North Carolina
Location: Chapel Hill
Code for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions
Code that implements paper "End-to-End Instance Segmentation with Recurrent Attention"
Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/abs/2103.12369
sota of reid model
Remote sensing image classification based on deep learning
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
Collection of reproducible deep learning for compressive sensing
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
MS-Loss: Multi-Similarity Loss for Deep Metric Learning
Residual Attention Network for Image Classification
Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
Revision / diff package for LaTeX documents. Ease the work of reviewers :-)
Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.
Simple Training and Deployment of Fast End-to-End Binary Networks
Hyperspectral Image Classification in the Presence of Noisy Labels (IEEE TGRS, 2019)
Road Detection from Remote Sensing Imagery using Deep Learning Techniques
RoadNet: A Multi-task Benchmark Dataset for Road Detection, TGRS.
RODNet: Radar object detection network (WACV 2021)
RPC-Dataset's github page
Work in ''Road Structure Refined CNN for Road Extraction in Aerial Image''
SDK for TEE AI Stick (includes model training script, inference library, examples)
An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization(https://arxiv.org/pdf/1902.01917.pdf) ---ICML2019
Change detection in polarimetric SAR images in Python
:satellite: Multi-Level Pattern Histogram for Synthetic-Aperture Radar (SAR) image classification into terrain classes.
Resources for deep learning with satellite & aerial imagery
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.