Search Results for author:
Found 2 papers, 1 papers with code
Anomaly Detection Requires Better Representations
Anomaly detection seeks to identify unusual phenomena, a central task in science and industry.
Ranked #1 on
Anomaly Detection
on ODDS
3D Anomaly Detection and Segmentation
Representation Learning
+1
Out-of-Distribution Detection Without Class Labels
Out-of-distribution detection seeks to identify novelties, samples that deviate from the norm.
Ranked #1 on
Anomaly Detection
on Anomaly Detection on Anomaly Detection on Unlabeled ImageNet-30 vs Flowers-102
(using extra training data)
