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Connoisseur: classification of styles of Mexican architectural heritage with deep learning and visual attention prediction.

, , , and . CBMI, page 16:1-16:7. ACM, (2017)

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Forward-backward visual saliency propagation in Deep NNs vs internal attentional mechanisms., , , and . IPTA, page 1-6. IEEE, (2019)Dropping Activations in Convolutional Neural Networks with Visual Attention Maps., , , and . CBMI, page 1-4. IEEE, (2019)Introduction of Explicit Visual Saliency in Training of Deep CNNs: Application to Architectural Styles Classification., , , and . CBMI, page 1-5. IEEE, (2018)Organizing Cultural Heritage with Deep Features., , , and . SUMAC @ ACM Multimedia, page 55-59. ACM, (2019)Connoisseur: classification of styles of Mexican architectural heritage with deep learning and visual attention prediction., , , and . CBMI, page 16:1-16:7. ACM, (2017)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)Comparative study of visual saliency maps in the problem of classification of architectural images with Deep CNNs., , , , , and . IPTA, page 1-6. IEEE, (2018)Saliency-based selection of visual content for deep convolutional neural networks - Application to architectural style classification., , , and . Multim. Tools Appl., 78 (8): 9553-9576 (2019)Architectural style classification of Mexican historical buildings using deep convolutional neural networks and sparse features., , , and . J. Electronic Imaging, 26 (1): 11016 (2017)Visual vs internal attention mechanisms in deep neural networks for image classification and object detection., , , and . Pattern Recognit., (2022)