RLIPv2
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OI Eval and Training Logs
Hi,
Fantastic work and thanks for releasing the codebase!
I noticed that your evaluation on Open Images seems different from other approaches. You are computing the mean per GT triplet, instead of per predicate class. You also skip computing for "unseen" triplet. I am not sure if these modifications would introduce big differences when comparing with other methods. Would you mind explain this?
I also would like to ask if you have the training logs that could share, especially on mAPs results for Open Images (object detection results per class, and predicate recall per class).
Thanks.