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tpami19_bmvc's Issues

Categories of the NUS-WIDE-Object dataset

Your paper mentions that "NUS-WIDE-Obj is composed of 30,000 images from 31 classes," but the public website lists 81 labels and describes it as multi-label. Could you please clarify how you selected or categorized the classes? Thanks so much!

About the visualization of learned representations

How to visualize the representation B by using t-SNE since it is binary defined.
I've tried it by using t-SNE, however the diagram is weird and irregular.

I'll appreciate it if you could give me some suggestions.

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