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A large amount of research on Convolutional Neural Networks has focused on flat Classification in the multi-class domain.
A survey on multi-output learning
Xu, D., Shi, Y., Tsang, I.W., Ong, Y.S., Gong, C., Shen, X., 2019 · 1901
Earlier work this paper cites.
Granularity, in: Readings in qualitative reasoning about physical systems. Elsevier, pp. 542–545
Hobbs, J.R., 1990 · 1990
Earlier work this paper cites.
Granularity hierarchies
McCalla, G., Greer, J., Barrie, B., Pospisil, P., 1992 · 1992
Earlier work this paper cites.
Incremental algorithms for hierarchical classification
Cesa-Bianchi, N., Gentile, C., Zaniboni, L., 2006 · 2006
Earlier work this paper cites.
Comparing several approaches for hierarchical classification of proteins with decision trees, in: Brazilian Symposium on Bioinformatics, Springer. pp. 126–137
Costa, E.P., Lorena, A.C., Carvalho, A.C., Freitas, A.A., Holden, N., 2007 · 2007
Earlier work this paper cites.
True path rule hierarchical ensembles, in: International Workshop on Multiple Classifier Systems, Springer. pp. 232–241
Valentini, G., 2009 · 2009
Earlier work this paper cites.
Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks, in: 2011 11th International Conference on Intelligent Systems Design and Applications, IEEE. pp. 337–343
Cerri, R., Barros, R.C., de Carvalho, A.C., 2011 · 2011
Cited alongside, same era.
Hierarchical annotation of medical images
Dimitrovski, I., Kocev, D., Loskovska, S., Džeroski, S., 2011 · 2011
Cited alongside, same era.
A survey of hierarchical classification across different application domains
Silla, C.N., Freitas, A.A., 2011 · 2011
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D.P., Ba, J., 2014 · 2014
Cited alongside, same era.
Multilabel classification through structured output learning-methods and applications
Su, H., et al., 2015 · 2015
Cited alongside, same era.
A discriminative feature learning approach for deep face recognition, in: European conference on computer vision, Springer. pp. 499–515
Wen, Y., Zhang, K., Li, Z., Qiao, Y., 2016 · 2016
Later among the works it cites.
Deep hierarchical multi-label classification of chest x-ray images
Chen, H., Miao, S., Xu, D., Hager, G.D., Harrison, A.P., 2018 · 2018
Later among the works it cites.
Hierarchical multi-label classification networks, in: International Conference on Machine Learning, pp. 5225–5234
Wehrmann, J., Cerri, R., Barros, R., 2018 · 2018
Later among the works it cites.
Vqa-med: Overview of the medical visual question answering task at imageclef 2019, in: CLEF2019 Working Notes. CEUR Workshop Proceedings, pp. 09–12
Abacha, A.B., Hasan, S.A., Datla, V.V., Liu, J., Demner-Fushman, D., Müller, H., 2019 · 2019
Later among the works it cites.
Zhejiang university at imageclef 2019 visual question answering in the medical domain
Yan, X., Li, L., Xie, C., Xiao, J., Gu, L., 2019 · 2019
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