Deep Generalized Max Pooling
作者： Vincent Christlein , Mathias Seuret , Pavel Král , Anguelos Nicolaou , Andreas Maier
DOI:
关键词: Artificial intelligence 、 Identification (information) 、 Pattern recognition 、 Computer science 、 Convolutional neural network 、 Pooling 、 Aggregate (data warehouse) 、 Max pooling 、 Layer (object-oriented design) 、 Contrast (statistics)
摘要: Global pooling layers are an essential part of Convolutional Neural Networks (CNN). They are used to aggregate activations of spatial locations to produce a fixed-size vector in several …
arxiv.org参考文章(37)
Florent Perronnin, Jorge Sánchez, Thomas Mensink, Improving the fisher kernel for large-scale image classification european conference on computer vision. ,vol. 6314, pp. 143- 156 ,(2010) , 10.1007/978-3-642-15561-1_11
Shuicheng Yan, Qiang Chen, Min Lin, Network In Network arXiv: Neural and Evolutionary Computing. ,(2013)
Pedro O. Pinheiro, Ronan Collobert, From image-level to pixel-level labeling with Convolutional Networks computer vision and pattern recognition. pp. 1713- 1721 ,(2015) , 10.1109/CVPR.2015.7298780
Naila Murray, Florent Perronnin, Generalized Max Pooling computer vision and pattern recognition. pp. 2473- 2480 ,(2014) , 10.1109/CVPR.2014.317
Herve Jegou, Florent Perronnin, Matthijs Douze, Jorge Sánchez, Patrick Perez, Cordelia Schmid, Aggregating Local Image Descriptors into Compact Codes IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 34, pp. 1704- 1716 ,(2012) , 10.1109/TPAMI.2011.235
Maxime Oquab, Leon Bottou, Ivan Laptev, Josef Sivic, Is object localization for free? - Weakly-supervised learning with convolutional neural networks computer vision and pattern recognition. pp. 685- 694 ,(2015) , 10.1109/CVPR.2015.7298668
Herve Jegou, Andrew Zisserman, Triangulation Embedding and Democratic Aggregation for Image Search computer vision and pattern recognition. pp. 3310- 3317 ,(2014) , 10.1109/CVPR.2014.417
Florian Schroff, Dmitry Kalenichenko, James Philbin, FaceNet: A unified embedding for face recognition and clustering computer vision and pattern recognition. pp. 815- 823 ,(2015) , 10.1109/CVPR.2015.7298682
Y. Lecun, L. Bottou, Y. Bengio, P. Haffner, Gradient-based learning applied to document recognition Proceedings of the IEEE. ,vol. 86, pp. 2278- 2324 ,(1998) , 10.1109/5.726791
Alexis Battle, Andrew Y. Ng, Honglak Lee, Rajat Raina, Efficient sparse coding algorithms neural information processing systems. ,vol. 19, pp. 801- 808 ,(2006)