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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!
The text was updated successfully, but these errors were encountered:
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.
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!
The text was updated successfully, but these errors were encountered: