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Is your feature request related to a problem? Please describe.
In order to define some instance segmentation related metrics such as panoptic quality, one needs to be able to identify true positive instances and their corresponding ground truth. The first step in that pipeline is to define localisation criteria followed by an association strategy
Describe the solution you'd like
Implementation of the different localization criteria resulting for each element in a list of possible reference instances.
Boundary IoU
Mask IoU
Box IoU (already implemented)
Distance based criteria of centre of mass (must be lower than a threshold)
Centre based criteria (if centre of reference is included in prediction)
The hit criteria output is then followed by an association step:
Greedy based on score - The prediction instances are ranked by prediction score and assigned (if possible according to the hit criterion) to a single ground truth (the one with the best score). The reference associated object is then removed from the list of possible objects
Hungarian algorithm - Association based on minimisation of overall hit score
Need optional consideration of multiple instances hitting a given reference instances either removing them from the validation or considering them as FP
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
In order to define some instance segmentation related metrics such as panoptic quality, one needs to be able to identify true positive instances and their corresponding ground truth. The first step in that pipeline is to define localisation criteria followed by an association strategy
Describe the solution you'd like
Implementation of the different localization criteria resulting for each element in a list of possible reference instances.
The hit criteria output is then followed by an association step:
Need optional consideration of multiple instances hitting a given reference instances either removing them from the validation or considering them as FP
The text was updated successfully, but these errors were encountered: