Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks

arXiv: Computer Vision and Pattern Recognition, 2019.

Cited by: 22|Bibtex|Views22
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

The Convolutional Neural Networks (CNNs) generate the feature representation of complex objects by collecting hierarchical and different parts of semantic sub-features. These sub-features can usually be distributed in grouped form in the feature vector of each layer, representing various semantic entities. However, the activation of the...More

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