Search Results for author: Tal Reiss

Found 7 papers, 6 papers with code

Detecting Deepfakes Without Seeing Any

1 code implementation2 Nov 2023 Tal Reiss, Bar Cavia, Yedid Hoshen

We therefore introduce the concept of "fact checking", adapted from fake news detection, for detecting zero-day deepfake attacks.

DeepFake Detection Face Swapping +2

No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection

no code implementations12 Jun 2023 Tal Reiss, Niv Cohen, Yedid Hoshen

It is tempting to hypothesize that anomaly detection can improve indefinitely by increasing the scale of our networks, making their representations more expressive.

Anomaly Detection

Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection

4 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 Attribute +1

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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