Open jylins opened 5 years ago
Q1: When I set the score threshold to 0.05 as maskrcnn default, the precision was very low. Then I set the score threshold to 0.5, the F-measure matches the proposed score(88.20% on ICDAR 2015 test set), but the recall and the precision do not match the score on paper. Method Precision Recall F-Measure Baseline of PMTD 85.84 90.55 88.14 Our Baseline 92.50 84.20 88.20
A1: Except for the NMS for bounding box, we also do NMS for the quadrilaterals outputted by plane clustering. Consequently, in the test stage, the full pipeline is:
cls_score_threshold
, nms_threshold=0.7
)cls_score_threshold=0.05
, nms_threshold=0.5
)cls_score_threshold
, nms_threshold
) -> final resultsnote:
Q2: Have you do the ablation study on Data Augmentation, RPN Anchor and OHEM. In my experiments, Data Augmentation and OHEM improve the performance, but modification for RPN Anchor does not work.
A2: Sorry, we haven't done the ablation study on Data Augmentation. But for the modification on anchor, we believe that for the RPN-based methods which need setting the anchor manually, adjusting the anchor for the dataset is always no harm.
@JingChaoLiu Thanks for your tips 👍
Q2: Have you do the ablation study on Data Augmentation, RPN Anchor and OHEM. In my experiments, Data Augmentation and OHEM improve the performance, but modification for RPN Anchor does not work.