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PRODID:-//GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen - ECPv5.7.0//NONSGML v1.0//EN
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X-WR-CALNAME:GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen
X-ORIGINAL-URL:https://www.greyc.fr
X-WR-CALDESC:évènements pour GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen
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TZID:Europe/Paris
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DTSTART:20250330T010000
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DTSTART:20251026T010000
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DTSTART;TZID=Europe/Paris:20251002T140000
DTEND;TZID=Europe/Paris:20251002T150000
DTSTAMP:20260419T024430
CREATED:20250929T140707Z
LAST-MODIFIED:20250929T140713Z
UID:11975-1759413600-1759417200@www.greyc.fr
SUMMARY:Séminaire Image : "Anomaly Detection with Pre-Trained Representations"\, Jeremie Pantin
DESCRIPTION:Nous aurons le plaisir d’écouter Jérémie Patin\, MCF CDD au GREYC.\nIl donnera un séminaire IMAGE le jeudi 2 octobre 2025 à 14h en salle de séminaire F-200. \nTitre : « Anomaly Detection with Pre-Trained Representations » \nRésumé : \nIn Anomaly Detection\, relatively few studies have examined how pre-trained models can be used without fine-tuning or weight adaptation\, particularly in multimodal scenarios. We first introduce a lightweight autoencoder approach for identifying textual anomalies\, considering representation from encoder-based large language models. We then extend this perspective to a multimodal setting\, focusing on brain tumor analysis with pre-trained text/vision models. Finally\, we conclude with an xAI problem statement: Can we consider predicted anomalies as post-hoc explainers ?
URL:https://www.greyc.fr/event/seminaire-image-anomaly-detection-with-pre-trained-representations-jeremie-pantin/
LOCATION:ENSICAEN – Batiment F – Salle F-200\, 6 Bd Maréchal Juin\, Caen\, 14050\, France
CATEGORIES:General,Image,News,Seminaire Image
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