Two-Way Dense Layer is an image model block used in the PeleeNet architectures. Motivated by GoogLeNet, the 2-way dense layer is used to get different scales of receptive fields. One way of the layer uses a 3x3 kernel size. The other way of the layer uses two stacked 3x3 convolution to learn visual patterns for large objects.
Source: Pelee: A Real-Time Object Detection System on Mobile DevicesPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Object Detection | 2 | 25.00% |
Real-Time Object Detection | 2 | 25.00% |
Computational Efficiency | 1 | 12.50% |
Emotion Recognition | 1 | 12.50% |
Facial Expression Recognition (FER) | 1 | 12.50% |
Image Classification | 1 | 12.50% |