Spatially Attentive Output Layer for Image Classification

CVPR 2020 Ildoo KimWoonhyuk BaekSungwoong Kim

Most convolutional neural networks (CNNs) for image classification use a global average pooling (GAP) followed by a fully-connected (FC) layer for output logits. However, this spatial aggregation procedure inherently restricts the utilization of location-specific information at the output layer, although this spatial information can be beneficial for classification... (read more)

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