xautzhaozhe's Stars
huyanning/OTCMA-Net
The implementation for "Cluster-memory Augmented Deep Autoencoder via Optimal Transportation for Hyperspectral Anomaly Detection"
anymyb/MFDIN
Mirwaisse/SRCNN
Implementation of SRCNN in PyTorch
lockeliu/super_solution
EDSR MDSR SRGAN
yuqing-liu-dut/ST-DeInt
Spatial-Temporal Correlation Learning for Real-Time Video DeInterlacing (ICME 2021)
bigbye/RDN-SISR
NjuHaoZhang/AMMCNet_AAAI2021
Appearance-Motion Memory Consistency Network for Video Anomaly Detection
yassouali/pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
SleepyBag/Statistical-Learning-Methods
Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
huyanning/Hyperspectral-Anomaly-Detection
Paper and Code about my research on hyperpsectral anomaly detection
zephyrhours/Hyperspectral-Anomaly-Detection-LSUNRSORAD-and-LSAD-CR-IDW-
This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'
axiqia/Anomaly-Detection-in-Hyperspectral-Images-Based-on-Low-Rank-and-Sparse-Representation
eecn/Hyperspectral-Classification
Hyperspectral-Classification Pytorch
aicip/ADLR
Anomaly detection in hyperspectral images by abundance- and dictionary-based low-rank decomposition (ADLR)
junjun-jiang/Face-Hallucination-Benchmark
A collection of state-of-the-art face super-resolution/hallucination methods
yuchaoY/CNND
A pytorch implementation of paper "Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery"
l7170/LSDM-MoG
Low-Rank and Sparse Decomposition with Mixture-of-Gaussian for Hyperspectral Anomaly Detection
tusen-ai/simpledet
A Simple and Versatile Framework for Object Detection and Instance Recognition
bbaibowen/computer-vision
demo
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.