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Active learning with MaskAL reduces annotation effort for training Mask R-CNN. (arXiv:2112.06586v2 [cs.CV] UPDATED)
Jan. 20, 2022, 2:10 a.m. | Pieter M. Blok, Gert Kootstra, Hakim Elchaoui Elghor, Boubacar Diallo, Frits K. van Evert, Eldert J. van Henten
cs.CV updates on arXiv.org arxiv.org
The generalisation performance of a convolutional neural network (CNN) is
influenced by the quantity, quality, and variety of the training images.
Training images must be annotated, and this is time consuming and expensive.
The goal of our work was to reduce the number of annotated images needed to
train a CNN while maintaining its performance. We hypothesised that the
performance of a CNN can be improved faster by ensuring that the set of
training images contains a large fraction of …
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