Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Quenot, Georges"'
Autor:
Xu-Darme, Romain, Benois-Pineau, Jenny, Giot, Romain, Quénot, Georges, Chihani, Zakaria, Rousset, Marie-Christine, Zhukov, Alexey
In the field of Explainable AI, multiples evaluation metrics have been proposed in order to assess the quality of explanation methods w.r.t. a set of desired properties. In this work, we study the articulation between the stability, correctness and p
Externí odkaz:
http://arxiv.org/abs/2311.12860
Autor:
Awad, George, Curtis, Keith, Butt, Asad, Fiscus, Jonathan, Godil, Afzal, Lee, Yooyoung, Delgado, Andrew, Godard, Eliot, Diduch, Lukas, Liu, Jeffrey, Graham, Yvette, Quenot, Georges
The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video analysis and retrieval evaluation with the goal of promoting progress in research and development of content-based exploitation and retrieval of information from digital video via op
Externí odkaz:
http://arxiv.org/abs/2306.13118
In this work, we perform an in-depth analysis of the visualisation methods implemented in two popular self-explaining models for visual classification based on prototypes - ProtoPNet and ProtoTree. Using two fine-grained datasets (CUB-200-2011 and St
Externí odkaz:
http://arxiv.org/abs/2302.08508
In this paper, we present PARTICUL, a novel algorithm for unsupervised learning of part detectors from datasets used in fine-grained recognition. It exploits the macro-similarities of all images in the training set in order to mine for recurring patt
Externí odkaz:
http://arxiv.org/abs/2206.13304
Autor:
Awad, George, Butt, Asad A., Curtis, Keith, Fiscus, Jonathan, Godil, Afzal, Lee, Yooyoung, Delgado, Andrew, Zhang, Jesse, Godard, Eliot, Chocot, Baptiste, Diduch, Lukas, Liu, Jeffrey, Smeaton, Alan F., Graham, Yvette, Jones, Gareth J. F., Kraaij, Wessel, Quenot, Georges
The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video analysis and retrieval evaluation with the goal of promoting progress in research and development of content-based exploitation and retrieval of information from digital video via op
Externí odkaz:
http://arxiv.org/abs/2104.13473
Autor:
Awad, George, Butt, Asad A., Curtis, Keith, Lee, Yooyoung, Fiscus, Jonathan, Godil, Afzal, Delgado, Andrew, Zhang, Jesse, Godard, Eliot, Diduch, Lukas, Smeaton, Alan F., Graham, Yvette, Kraaij, Wessel, Quenot, Georges
The TREC Video Retrieval Evaluation (TRECVID) 2019 was a TREC-style video analysis and retrieval evaluation, the goal of which remains to promote progress in research and development of content-based exploitation and retrieval of information from dig
Externí odkaz:
http://arxiv.org/abs/2009.09984
We investigate in this paper the architecture of deep convolutional networks. Building on existing state of the art models, we propose a reconfiguration of the model parameters into several parallel branches at the global network level, with each bra
Externí odkaz:
http://arxiv.org/abs/1709.06053
Publikováno v:
In Neurocomputing 5 July 2020 396:346-357
Autor:
Quenot, Georges
Th.--Inform.--Paris 11, 1988.
Externí odkaz:
http://catalogue.bnf.fr/ark:/12148/cb37617764f
Autor:
Quenot, Georges.
Th.--Méd.--Paris, 1909-1910.
Paris, 1909-1910. N ° 457.
Paris, 1909-1910. N ° 457.
Externí odkaz:
http://catalogue.bnf.fr/ark:/12148/cb369234469