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Hi,I try to use VGG16 as motion-model to fine-tune on ucf101 dataset,first stack 10 x-axis optical folw pics and 10 y-axis pics to get a 20 pics clip,then send it to VGG16 pretrained on ImagNet(change the in_channel from 3 to 20 and change the last classifier layer to 101)to do classification task. I met the same question as #1.
But when I use ResNet architechiture,everything goes well,does it correspoding to the preprocess on optical-flow pics?I dont normalize the optiflow pics.
my training acc1 and test acc1 is around 1% and dosnt go up.
The text was updated successfully, but these errors were encountered:
Hi,I try to use VGG16 as motion-model to fine-tune on ucf101 dataset,first stack 10 x-axis optical folw pics and 10 y-axis pics to get a 20 pics clip,then send it to VGG16 pretrained on ImagNet(change the in_channel from 3 to 20 and change the last classifier layer to 101)to do classification task. I met the same question as #1.
But when I use ResNet architechiture,everything goes well,does it correspoding to the preprocess on optical-flow pics?I dont normalize the optiflow pics.
my training acc1 and test acc1 is around 1% and dosnt go up.
The text was updated successfully, but these errors were encountered: