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NAS-guided Lightweight Multiscale Attention Fusion Network for Hyperspectral Image Classification
NAS-guided Lightweight Multiscale Attention Fusion Network for Hyperspectral Image Classification
Implementation of Local Laplacian Filters, with basic GUI and image quality assessment
Unsupervised Pre-training for Person Re-identification (LUPerson)
Multi-scale 3d convolution network for video based person re-identification
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Hyperspectral Image Classification with Multi-attention Fusion Network-code
Mancs: A multi-task attentional network with curriculum sampling for person re-identification
MAPC and deep random forest for hyperspectral image classification
Pytorch code for our CVPR'19 (oral) work: Unsupervised person re-identification by soft multilabel learning
The evaluation tool (Matlab version) for saliency maps.
A Multi-channel CNN for Blind 360-Degree Image Quality Assessment
Re-implementation of MCF_Net, a deep learning model based on DenseNet121 for retinal image quality assessment (RIQA) developed by Fu et al (2019)
MDCPE co-training is proposed with two deep neural networks for hyperspectral image classification.
Multiscale Dynamic Graph Convolutional Network for hyperspectral image classification
S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3018879.
This repository contains codes for Ensemble of multiple CNN classifiers for Hyperspectral Image Classification with superpixel smoothing
"Multiple Expert Brainstorming for Domain Adaptive Person Re-identification", ECCV 2020
[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification
Zhaokui Li*, Tianning Wang, Wei Li, Qian Du, Chuanyun Wang, Cuiwei Liu, Xiangbin Shi, Deep Multi-layer Fusion Dense Network for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020, 13:1258-1270.
Deep Multi-layer Fusion Dense Network for Hyperspectral Image Classification.
Mask data and code for 'Mask-guided Contrastive Attention Model for Person Re-Identification' (CVPR-2018)
Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Person re-identification MGN model based on tensorflow
CVPR2020, Multi-scale Interactive Network for Salient Object Detection
Dimensionality Reduction and Classification of Hyperspectral Images using SVM and Spectral-Spatial Classifier
Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection
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.