Ning Huyan's Projects
100 Days of ML Coding
The implementation for "AUD-Net: A Unified Deep Detector for Multiple Hyperspectral Image Anomaly Detection via Relation and Few-Shot Learning"
Real-Time High-Resolution Background Matting
Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
Fast R-CNN
Paper and Code about my research on hyperpsectral anomaly detection
The implementation for "Memory-Calibrated Deep Outlier Detection by Contrastive Learning"
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
The implementation for "Cluster-memory Augmented Deep Autoencoder via Optimal Transportation for Hyperspectral Anomaly Detection"