why last prediction layer is 3x3 convolution??

alexgkendall / caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

http://mi.eng.cam.ac.uk/projects/segnet/

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why last prediction layer is 3x3 convolution?? #154

Open choco9966 opened 3 years ago

choco9966 commented 3 years ago

Hello, I wonder why you used 3x3 convolution when you predicted the last output class. SegNet itself is to speed up, isn't it much faster to use 1x1 convolution? I want to know why it's composed of 3x3 convolution.