soeaver / airnet-pytorch Goto Github PK
View Code? Open in Web Editor NEWImplementation of the paper ''Attention Inspiring Receptive-fields Network''
Implementation of the paper ''Attention Inspiring Receptive-fields Network''
att
MD5 (air50_1x64d_r16.pth) = 4208814c18b3d570fbaed57a60ba2372
MD5 (air50_1x64d_r2.pth) = 4208814c18b3d570fbaed57a60ba2372
Hi. I'm very interested about you work. And I have run the eval.py on the ILSVRC2012_val(50000 images),I have resized the image to 256256 and single crop 224224 on the air50_1x64d_r16.pth. but the top1/5 is 74.69%/92.056%
While I use reisze short size of images to 256 and short size of images short size of images,I can only implemetn top1/5 74.62%/92.026%。
So could you tell me whats wrong about this? Thanks
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