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Abraham Montoya Obeso
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2020 – today
- 2022
- [j3]Abraham Montoya Obeso, Jenny Benois-Pineau, Mireya Saraí García-Vázquez, Alejandro Alvaro Ramírez-Acosta:
Visual vs internal attention mechanisms in deep neural networks for image classification and object detection. Pattern Recognit. 123: 108411 (2022) - 2020
- [b1]Abraham Montoya Obeso:
Recognition of Mexican cultural content with Deep learning networks. (Reconnaissance du patrimoine Mexicaine sous forme numérique par des réseaux d'apprentissage profond). University of Bordeaux, France, 2020
2010 – 2019
- 2019
- [j2]Abraham Montoya Obeso
, Jenny Benois-Pineau
Saliency-based selection of visual content for deep convolutional neural networks - Application to architectural style classification. Multim. Tools Appl. 78(8): 9553-9576 (2019) - [c6]Abraham Montoya Obeso, Jenny Benois-Pineau
Dropping Activations in Convolutional Neural Networks with Visual Attention Maps. CBMI 2019: 1-4 - [c5]Abraham Montoya Obeso, Jenny Benois-Pineau, Mireya Saraí García-Vázquez
Forward-backward visual saliency propagation in Deep NNs vs internal attentional mechanisms. IPTA 2019: 1-6 - [c4]Abraham Montoya Obeso, Jenny Benois-Pineau, Mireya Saraí García-Vázquez, Alejandro Alvaro Ramírez-Acosta:
Organizing Cultural Heritage with Deep Features. SUMAC @ ACM Multimedia 2019: 55-59 - 2018
- [c3]Abraham Montoya Obeso, Jenny Benois-Pineau
Introduction of Explicit Visual Saliency in Training of Deep CNNs: Application to Architectural Styles Classification. CBMI 2018: 1-5 - [c2]Abraham Montoya Obeso, Jenny Benois-Pineau
Comparative study of visual saliency maps in the problem of classification of architectural images with Deep CNNs. IPTA 2018: 1-6 - 2017
- [j1]Abraham Montoya Obeso, Jenny Benois-Pineau
Architectural style classification of Mexican historical buildings using deep convolutional neural networks and sparse features. J. Electronic Imaging 26(1): 11016 (2017) - [c1]Abraham Montoya Obeso, Mireya S. García-Vázquez, Alejandro Alvaro Ramírez-Acosta, Jenny Benois-Pineau
Connoisseur: classification of styles of Mexican architectural heritage with deep learning and visual attention prediction. CBMI 2017: 16:1-16:7
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