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Reproducing paper results: questions about generating masks correctly from MasrkRCNN

In an email thread with one of the co-authors (@vidit98), some details were shared with me regarding correctly reproducing their results on DAVIS19. We talked about using the specific MaskRCNN model and config similar to theirs. Here are some required steps

  1. Implementation from: maskrcnn-benchmark (deprecated as of now)
  2. MaskRCNN Mode configl: R-50_FPN
  3. Change following keys in config/defaults.py:
    • _C.MODEL.ROI_HEADS.NMS = 0.2
    • _C.MODEL.RPM.NMS_THRESH = 0.5
  4. Draw larger masks behind smaller masks in the final output (so smaller masks do not get occluded)

As of now, maskrcnn_benchmark has been deprecated and everything has been transfered to detectron2 and so I'll be using that repository to get MaskRCNN's mask outputs for the DAVIS19 dataset.

This issue will be closed once the results have been reproduced.

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