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pedropro/TACO: Mask-RCNN weights trained on TACO-10

Authors: Proença, Pedro F.;

pedropro/TACO: Mask-RCNN weights trained on TACO-10

Abstract

These weights were obtained for 4-fold cross validation using TACO-10 class map. Each file with the name: <dataset>_<map_number_of_target_classes>_<fold number>.zip contains the following: The actual weights: mask_rcnn_taco_<epoch number>.h5. Copy this to detector/models/logs The respective dataset split used: annotations_0_<subset>.json. Copy these 3 files to your dataset directory. More details coming soon

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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