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Reproducing DeepCluster DAVIS Evaluation Results #14

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dmckee5 opened this issue Jun 28, 2019 · 2 comments
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Reproducing DeepCluster DAVIS Evaluation Results #14

dmckee5 opened this issue Jun 28, 2019 · 2 comments

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@dmckee5
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dmckee5 commented Jun 28, 2019

Hello,

Thank you for providing this repo! I have had some trouble reproducing the exact DeepCluster performance numbers on DAVIS-2017 from your paper. Could you confirm whether the network you used is the VGG16-PyTorch pretrained model from the DeepCluster repo (https://github.com/facebookresearch/deepcluster)?

In addition, during evaluation do you extract the feature map directly before maxpool-4 in the VGG16 model, or which feature map output do you use from the pretrained model?

Thanks!

@ajabri
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ajabri commented Jul 1, 2019

Hi @dmckee5 -- we did indeed use the pretrained VGG16 model from the deepcluster repo. The only modification is to remove the last two pooling layers (maxpool4 and maxpool5?); this should yield a feature map of dimension 30x30 for an input of 240x240.

@dmckee5
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dmckee5 commented Aug 28, 2019

Sorry forgot to close this issue. Thanks for your help @ajabri!

@dmckee5 dmckee5 closed this as completed Aug 28, 2019
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