【论文笔记】OverFeat

【论文笔记】OverFeat

原文见OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks：

• 新的网络结构：两种网络模型
• 多尺度应用
• classification, localization, detection

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Classification

Model Design and Training

fast model

Layer	1	2	3	4	5	6	7	8
Stage	conv + max	conv + max	conv	conv	conv + max	full	full	full
channels	96	256	512	1024	1024	3072	4096	1000
Filter size	11x11	5x5	3x3	3x3	3x3	-	-	-
Conv. stride	4x4	1x1	1x1	1x1	1x1	-	-	-
Pooling size	2x2	2x2	-	-	2x2	-	-	-
Pooling stride	2x2	2x2	-	-	2x2	-	-	-
Zero-Padding size	-	-	1x1x1x1	1x1x1x1	1x1x1x1	-	-	-
Spatial input size	231x231	28x28	12x12	12x12	12x12	6x6	1x1	1x1

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accurate model

Layer	1	2	3	4	5	6	7	8	9
Stage	conv + max	conv + max	conv	conv	conv	conv + max	full	full	full
channels	96	256	512	512	1024	1024	4096	4096	1000
Filter size	7x7	7x7	3x3	3x3	3x3	3x3	-	-	-
Conv. stride	2x2	1x1	1x1	1x1	1x1	1x1	-	-	-
Pooling size	3x3	2x2	-	-	-	3x3	-	-	-
Pooling stride	3x3	2x2	-	-	-	3x3	-	-	-
Zero-Padding size	-	-	1x1x1x1	1x1x1x1	1x1x1x1	1x1x1x1	-	-	-
Spatial input size	221x221	36x36	15x15	15x15	15x15	15x15	5x5	1x1	1x1

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