Instance Segmentation Mask RCNN - Hyperparameters for Small Objects detection

[simaoh]

I tried to reproduce the Match RCNN for instance segmentation, and I am not getting the reported results on SegmentationAP. Namely I am getting much smaller APsmall (42.5 vs 63.4)and APmoderate(34.5 vs 70.0). Does anyone have the same issue?

Any specific hyperparameters that help you to deal with smaller objects (say Image resizing, and anchor sizes) ?

Below are my model's detection and segmentation metrics on the Val split:

('bbox', {'AP': 67.86324832728609, 'AP-long_sleeved_dress': 56.541174163962225, 'AP-long_sleeved_outwear': 74.16449293306097, 'AP-long_sleeved_shirt': 73.75971339840385, 'AP-short_sleeved_dress': 72.8306767642245, 'AP-short_sleeved_outwear': 43.61379907240868, 'AP-short_sleeved_shirt': 81.9145365194973, 'AP-shorts': 73.37486624090114, 'AP-skirt': 75.49207732009415, 'AP-sling': 45.75785464789856, 'AP-sling_dress': 67.33678391960328, 'AP-trousers': 76.54638488474107, 'AP-vest': 67.84181992205902, 'AP-vest_dress': 73.04804846786432, 'AP50': 81.15095138585319, 'AP75': 77.16118635751069, 'APl': 68.08711310612466, 'APm': 46.284572835916634, 'APs': 40.04950495049505}), ('segm', {'AP': 65.48012105746339, 'AP-long_sleeved_dress': 55.73186013884395, 'AP-long_sleeved_outwear': 65.80836195914864, 'AP-long_sleeved_shirt': 73.21708850317896, 'AP-short_sleeved_dress': 69.94720795596251, 'AP-short_sleeved_outwear': 39.933479439930345, 'AP-short_sleeved_shirt': 81.9019089354212, 'AP-shorts': 67.99202822354722, 'AP-skirt': 72.64990467430529, 'AP-sling': 45.614371104823185, 'AP-sling_dress': 68.66755489278036, 'AP-trousers': 73.53251749175784, 'AP-vest': 66.23205415164291, 'AP-vest_dress': 70.01323627568168, 'AP50': 80.736844713428, 'AP75': 76.3392207370798, 'APl': 65.88659721926655, 'APm': 34.59617538897983, 'APs': 42.57425742574257})])