Questions in detector architecture of slow fast for AVA dataset

Hey hi,

Thanks for the work. I have a question regarding the detection architecture under AVA dataset Experiment. I am trying to reproduce the result of Table9: AVA action detection baselines on resnet50. Can you please let me know the code for your detector with slow fast in the backbone?
Also can you please let me know how you had narrow down from larger proposal to some minimum number for the validation code ?Since your detector is based on Faster RCNN it would output atleast 300 proposals each class i am curious how you had managed to narrow down to less proposal and also defining multiple labels for the same bounding box.

Thanks in advance