Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks

Charles Kantor, Leonard Boussioux, Brice Rauby et Hugues Talbot

Communication écrite (2021)

Un lien externe est disponible pour ce document

Département:	Institut de génie biomédical
URL de PolyPublie:	https://publications.polymtl.ca/49467/
Nom de la conférence:	35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence
Date(s) de la conférence:	2021-02-02 - 2021-02-09
Maison d'édition:	AAAI
URL officielle:	https://ojs.aaai.org/index.php/AAAI/article/view/1...
Date du dépôt:	18 avr. 2023 14:59
Dernière modification:	05 avr. 2024 11:52

Citer en APA 7:

Kantor, C., Boussioux, L., Rauby, B., & Talbot, H. (février 2021). Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks [Communication écrite]. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence. https://ojs.aaai.org/index.php/AAAI/article/view/17900

APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Répertoire des publications (EndNote)Simple Metadata

Statistiques

Actions réservées au personnel