Search Results for author: Tal Reiss

Found 4 papers, 4 papers with code

Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection

3 code implementations1 Dec 2022 Tal Reiss, Yedid Hoshen

Surprisingly, we find that this simple representation is sufficient to achieve state-of-the-art performance in ShanghaiTech, the largest and most complex VAD dataset.

Abnormal Event Detection In Video Video Anomaly Detection

Mean-Shifted Contrastive Loss for Anomaly Detection

2 code implementations7 Jun 2021 Tal Reiss, Yedid Hoshen

We take the approach of transferring representations pre-trained on external datasets for anomaly detection.

Ranked #3 on Anomaly Detection on One-class CIFAR-100 (using extra training data)

Anomaly Detection Contrastive Learning +2

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation

1 code implementation CVPR 2021 Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen

In recent years, the anomaly detection community has attempted to obtain better features using advances in deep self-supervised feature learning.

Continual Learning Multi-class Classification +2

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