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Multipath Convolutional-Recursive Neural Networks for Object Recognition
[chapter]
2014
IFIP Advances in Information and Communication Technology
Extracting good representations from images is essential for many computer vision tasks. While progress in deep learning shows the importance of learning hierarchical features, it is also important to learn features through multiple paths. This paper presents Multipath Convolutional-Recursive Neural Networks(M-CRNNs), a novel scheme which aims to learn image features from multiple paths using models based on combination of convolutional and recursive neural networks (CNNs and RNNs). CNNs learn
doi:10.1007/978-3-662-44980-6_30
fatcat:s24t35huifdyxcsqoctmef3oom