Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition

We present a simple and effective architecture for fine-grained recognition called Bilinear Convolutional Neural Networks (B-CNNs). These networks represent an image as a pooled outer product of features derived from two CNNs and capture localized feature interactions in a translationally invariant...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 40; no. 6; pp. 1309 - 1322
Main Authors:	Tsung-Yu Lin, RoyChowdhury, Aruni, Maji, Subhransu
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.06.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Artificial neural networks bilinear models Birds Computer architecture Convolutional codes convolutional networks Feature extraction Fine-grained recognition Image classification Image recognition Neural networks Object recognition second order pooling Source code Texture recognition texture representations Visualization
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online Access:	Get full text
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