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i run `bash script/vgg_voc07.sh 1,2,3`, use three GPU cards， Tesla M40
but "root:Means AP=0.6860", not like 70.23
, s2.detach(), s3.detach(), s4.detach(), s5.detach()
o11, o21, o31, o41, o51 = s11.detach(), s21.detach(), s31.detach(), s41.detach(), s51.detach()`\
why do…
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Hi Kelvin,
After I trained model 2000 epochs, I tried to use generate_caps.py to get the captions. However, the result was meaningless. Is there anything I need to take care of regarding the generate…
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Hello, I have tested the ANN model of VGG16 without usebn provided by you on ImageNet dataset, but the accuracy is only 55.074%. Could you please update the pre-training ANN model?
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When I change traditional conv with deformable conv, the training speed is 10✖ times lower than before with a vgg backbone. my pytorch version is v1.1 and my cuda is v10.1. Anyone knows how to improve…
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大家好，请问如何利用一个已有的网络，比如VGG，训练一张图片，使得它在狗这个类别上的概率最大呢
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I used Tensorflow, and i was besed on VGG19. But I just got the OOM error! I had reused the variable in the loop! I used TITAN X.
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您在论文中为了验证BN对从头开始的训练的作用要比使用ImageNet预训练模型微调更有效，从而在原始VGG-16 backbone中添加BN，然后在ImageNet上进行VGG16-BN backbone的预训练，您论文中说的这个预训练模型您是使用Pytorch官方的model转化而来。我想向您训练该模型的下载地址，恳请您告知，万分感谢。
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I think in ssd_vgg_preprocessing.py, the function preprocess_for_train is making dataset enhancement or making more training data，do we need make the same change when change the image size ,then chang…