Date post: | 21-Apr-2017 |
Category: |
Data & Analytics |
Upload: | taichiro-endo |
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Convolution layer activation
conv5
input image
https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/object_localization_and_detection.html
conv5
input image
https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/object_localization_and_detection.html
Unit
• FC
• AlexNet, VGGnet, GoogLeNet
• GAP Unit Conv
• AlexNet: conv5 13x13
• VGGnet: conv5-3 14x14
• GoogLeNet: inception4e 14x14
• convolution GAP Softmax
• size: 3x3, stride: 1, padding: 1, unit: 1024
• ILSVRC 1000 130 fine tuning
• fine tune