A Recipe for Efficient SBIR Models: Combining Relative Triplet Loss with Batch Normalization and Knowledge Distillation

Autor: Seddati, Omar, Hubens, Nathan, Dupont, Stéphane, Dutoit, Thierry

Sketch-Based Image Retrieval (SBIR) is a crucial task in multimedia retrieval, where the goal is to retrieve a set of images that match a given sketch query. Researchers have already proposed several well-performing solutions for this task, but most

Externí odkaz: http://arxiv.org/abs/2305.18988

Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces

Autor: Mancas, Matei, Frisson, Christian, Tilmanne, Joëlle, d'Alessandro, Nicolas, Barborka, Petr, Bayansar, Furkan, Bernard, Francisco, Fiebrink, Rebecca, Heloir, Alexis, Hemery, Edgar, Laraba, Sohaib, Moinet, Alexis, Nunnari, Fabrizio, Ravet, Thierry, Reboursière, Loïc, Sarasua, Alvaro, Tits, Mickaël, Tits, Noé, Zajéga, François, Alborno, Paolo, Kolykhalova, Ksenia, Frid, Emma, Malafronte, Damiano, Veld, Lisanne Huis in't, Cakmak, Hüseyin, Haddad, Kevin El, Riche, Nicolas, Leroy, Julien, Marighetto, Pierre, Türker, Bekir Berker, Khaki, Hossein, Pulisci, Roberto, Gilmartin, Emer, Haider, Fasih, Cengiz, Kübra, Sulir, Martin, Torre, Ilaria, Marzban, Shabbir, Yazıcı, Ramazan, Bâgcı, Furkan Burak, Kılı, Vedat Gazi, Sezer, Hilal, Yenge, Sena Büsra, Delestage, Charles-Alexandre, Leleu-Merviel, Sylvie, Meyer-Chemenska, Muriel, Schmitt, Daniel, Yvart, Willy, Dupont, Stéphane, Altiok, Ozan Can, Bumin, Aysegül, Dikmen, Ceren, Giangreco, Ivan, Heller, Silvan, Külah, Emre, Pironkov, Gueorgui, Rossetto, Luca, Sahillioglu, Yusuf, Schuldt, Heiko, Seddati, Omar, Setinkaya, Yusuf, Sezgin, Metin, Tanase, Claudiu, Toyan, Emre, Wood, Sean, Yeke, Doguhan, Rocca, Françcois, De Deken, Pierre-Henri, Bandrabur, Alessandra, Grisard, Fabien, Jean-Caurant, Axel, Courboulay, Vincent, Madhkour, Radhwan Ben, Moreau, Ambroise

The 11th Summer Workshop on Multimodal Interfaces eNTERFACE 2015 was hosted by the Numediart Institute of Creative Technologies of the University of Mons from August 10th to September 2015. During the four weeks, students and researchers from all ove

Externí odkaz: http://arxiv.org/abs/1801.06349

iAutoMotion - an Autonomous Content-based Video Retrieval Engine

Autor: Rossetto Luca, Giangreco Ivan, Tanase Claudiu, Schuldt Heiko, Dupont Stéphane, Seddati Omar, Sezgin Metin, Sahillioglu Yusuf

This paper introduces iAutoMotion an autonomous video retrieval system that requires only minimal user input. It is based on the video retrieval engine IMOTION. iAutoMotion uses a camera to capture the input for both visual and textual queries and pe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=snsf_p3_pubs::6a0023153e9872566d9ed0be5c8206f1

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iAutoMotion – an Autonomous Content-Based Video Retrieval Engine.

Autor: Rossetto, Luca, Giangreco, Ivan, Tănase, Claudiu, Schuldt, Heiko, Dupont, Stéphane, Seddati, Omar, Sezgin, Metin, Sahillioğlu, Yusuf

Publikováno v: MultiMedia Modeling: 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part II; 2016, p383-387, 5p