Tal Reiss

4 papers · 2021–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🏆 Keyword Champion (2)

Venues

AAAI (1) ACL (1) CVPR (1) ICCV (1)

Top co-authors

Yedid Hoshen (3) Naama Zwerdling (1) Liron Bergman (1) Ateret Anaby Tavor (1) Roy Hirsch (1) Oren Barkan (1) Jonathan Weill (1) Ori Katz (1) Itzik Malkiel (1) George Kour (1)

Research topics

Machine Learning (3) Learning Types · Machine Learning (3) Computer Vision (2) Analysis (2) Core Methods (2) Artificial Intelligence (1) Deep Learning (1) Learning Paradigms (1) Learning Types · Deep Learning (1)

Keywords

pretrained feature (2) anomaly detection (2) self-supervised learning (2) transfer learning (1) outlier exposure (1) image retrieval (1) visual similarity (1) representation learning (1) benchmark dataset (1) anomaly segmentation (1) perceptual similarity (1) one-class classification (1) feature adaptation (1) contrastive learning (1) metric learning (1)

Papers

From Zero to Hero: Cold-Start Anomaly Detection ACL 2024 Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond ICCV 2023 Mean-Shifted Contrastive Loss for Anomaly Detection AAAI 2023 PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation CVPR 2021