research
∙
10/28/2021
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination
In this paper, we propose Normality-Calibrated Autoencoder (NCAE), which...
research
∙
09/14/2021
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification
Recently, vehicle re-identification methods based on deep learning const...
research
∙
06/16/2021
Unsupervised Person Re-identification via Multi-Label Prediction and Classification based on Graph-Structural Insight
This paper addresses unsupervised person re-identification (Re-ID) using...
research
∙
03/03/2021