research
∙
11/16/2022
Anomaly Detection via Multi-Scale Contrasted Memory
Deep anomaly detection (AD) aims to provide robust and efficient classif...
share
research
∙
11/24/2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Deep anomaly detection has proven to be an efficient and robust approach...
research
∙
04/20/2021
Fine-grained Anomaly Detection via Multi-task Self-Supervision
Detecting anomalies using deep learning has become a major challenge ove...
research
∙
06/11/2020
Improving Deep Metric Learning with Virtual Classes and Examples Mining
In deep metric learning, the training procedure relies on sampling infor...
research
∙
04/30/2020
DIABLO: Dictionary-based Attention Block for Deep Metric Learning
Recent breakthroughs in representation learning of unseen classes and ex...
research
∙
08/07/2019
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings
Learning an effective similarity measure between image representations i...
research
∙
06/05/2019
Efficient Codebook and Factorization for Second Order Representation Learning
Learning rich and compact representations is an open topic in many field...
research
∙
06/23/2018