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Published 20 hours ago • verified publisher icon swathikirans

t-sne

Open fuchao01 opened this issue 4 years ago • 5 comments

In the paper, which layer of features is used in Figure 5 to make t-sne

fuchao01 avatar Aug 12 '20 03:08 fuchao01

The feature obtained after spatial average pooling in BNInception is used for the t-SNE.

swathikirans avatar Aug 12 '20 10:08 swathikirans

Is it the feature obtained from here (https://github.com/swathikirans/GSM/blob/master/models.py#L194)?

fuchao01 avatar Aug 13 '20 03:08 fuchao01

Yes, you are right.

swathikirans avatar Aug 13 '20 07:08 swathikirans

Thank you for your reply. But the shape I extracted from base_out is (8, 2048). How to make the spatial average pooling

fuchao01 avatar Aug 19 '20 07:08 fuchao01

The output from the backbone (8X2048) is temporal average pooled to obtain a vector (2048) and is used for t-SNE visualization.

swathikirans avatar Sep 02 '20 07:09 swathikirans