マツダ財団研究報告, 31 (2019) 16kk-233...segmentation*yl-v —5 con'.oluti 512 4096...

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16KK-233 51 マツダ財団研究報告, 31 (2019)

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Page 1: マツダ財団研究報告, 31 (2019) 16KK-233...Segmentation*yl-V —5 Con'.oluti 512 4096 Max pooling 4096 Detection* —5 Convolution: feature layers (up to Conv5 3) 1024 1024

16KK-233

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マツダ財団研究報告, 31 (2019)

Page 2: マツダ財団研究報告, 31 (2019) 16KK-233...Segmentation*yl-V —5 Con'.oluti 512 4096 Max pooling 4096 Detection* —5 Convolution: feature layers (up to Conv5 3) 1024 1024

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Page 3: マツダ財団研究報告, 31 (2019) 16KK-233...Segmentation*yl-V —5 Con'.oluti 512 4096 Max pooling 4096 Detection* —5 Convolution: feature layers (up to Conv5 3) 1024 1024

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Page 4: マツダ財団研究報告, 31 (2019) 16KK-233...Segmentation*yl-V —5 Con'.oluti 512 4096 Max pooling 4096 Detection* —5 Convolution: feature layers (up to Conv5 3) 1024 1024

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Page 5: マツダ財団研究報告, 31 (2019) 16KK-233...Segmentation*yl-V —5 Con'.oluti 512 4096 Max pooling 4096 Detection* —5 Convolution: feature layers (up to Conv5 3) 1024 1024

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Page 6: マツダ財団研究報告, 31 (2019) 16KK-233...Segmentation*yl-V —5 Con'.oluti 512 4096 Max pooling 4096 Detection* —5 Convolution: feature layers (up to Conv5 3) 1024 1024

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Page 8: マツダ財団研究報告, 31 (2019) 16KK-233...Segmentation*yl-V —5 Con'.oluti 512 4096 Max pooling 4096 Detection* —5 Convolution: feature layers (up to Conv5 3) 1024 1024

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