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Found 5 papers, 2 papers with code
Masked Transformer for image Anomaly Localization
Image anomaly detection consists in detecting images or image portions that are visually different from the majority of the samples in a dataset.
Fairness based Multi-Preference Resource Allocation in Decentralised Open Markets
In this work, we focus on resource allocation in a decentralised open market.
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
We present a transformer-based image anomaly detection and localization network.
Ranked #9 on
Anomaly Detection
on BTAD
(using extra training data)
Image Anomaly Detection by Aggregating Deep Pyramidal Representations
Anomaly detection consists in identifying, within a dataset, those samples that significantly differ from the majority of the data, representing the normal class.
Image anomaly detection with capsule networks and imbalanced datasets
Image anomaly detection consists in finding images with anomalous, unusual patterns with respect to a set of normal data.
