CPC G06N 20/20 (2019.01) [G06F 18/2148 (2023.01); G06F 18/2163 (2023.01); G06F 18/24 (2023.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 20/00 (2022.01); G06N 3/08 (2013.01); G06V 20/68 (2022.01)] | 18 Claims |
1. A method for ambiguous object classification, comprising:
receiving an image set, wherein each image of the image set is labeled with a noisy label of an ambiguous object class;
partitioning the image set into N training sets;
training annotation models using the N training sets;
generating a set of secondary labels for each image of the image set using the trained annotation models; and
determining a final label for images of the image set based on the respective set of secondary labels.
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