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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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DTSTART:20240331T010000
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DTSTART:20241027T010000
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DTSTART;TZID=Europe/Paris:20241107T140000
DTEND;TZID=Europe/Paris:20241107T150000
DTSTAMP:20260421T201951
CREATED:20241015T153112Z
LAST-MODIFIED:20241104T083816Z
UID:11696-1730988000-1730991600@www.greyc.fr
SUMMARY:Séminaire Image : "ECoLaF: an Evidential Conflict-guided Late Fusion for robust multimodal semantic segmentation"\, Lucas Deregnaucourt
DESCRIPTION:Nous aurons le plaisir d’écouter Lucas Deregnaucourt\, doctorant INSA Rouen.\nIl donnera un séminaire IMAGE le jeudi 7 novembre à 14h00 en salle de séminaire F-200. \nTitre : « ECoLaF: an Evidential Conflict-guided Late Fusion for robust multimodal semantic segmentation » \n Résumé :\nThis work presents a novel and robust approach to semantic segmentation based on the fusion of different image modalities (conventional and non-conventional images). The robustness of fusion methods and their ability to tolerate sensor failures are crucial challenges for their deployment in real-world environments. It is essential to develop unique fusion models that can operate even in the absence of certain modalities during inference. However\, current fusion methods have a strong dependence on the RGB branch\, resulting in significant performance losses in case of its unavailability. To address this issue\, we introduce ECoLaF (Evidential Conflict-guided Late Fusion)\, a ’late fusion’ method based on Dempster-Shafer theory. This method adaptively reduces the output of each modality according to their conflicts before fusing them. Experimental results show that ECoLaF outperforms state-of-the-art methods in terms of robustness on the challenging MCubeS and DeLiVER datasets\, especially when the RGB sensor is not operational. This study offers new perspectives for improving the robustness of semantic segmentation in multimodal contexts.
URL:https://www.greyc.fr/event/seminaire-image-ecolaf-lucas-deregnaucourt/
LOCATION:ENSICAEN – Batiment F – Salle F-200\, 6 Bd Maréchal Juin\, Caen\, 14050\, France
CATEGORIES:Image,Seminaire Image
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