A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items. (arXiv:2201.02560v1 [cs.CV])

Screening cluttered and occluded contraband items from baggage X-ray scans is
a cumbersome task even for the expert security staff. This paper presents a
novel strategy that extends a conventional encoder-decoder architecture to
perform instance-aware segmentation and extract merged instances of contraband
items without using any additional sub-network or an object detector. The
encoder-decoder network first performs conventional semantic segmentation and
retrieves cluttered baggage items. The model then incrementally evolves during
training to recognize individual instances using significantly reduced training …

arxiv cv framework incremental learning segmentation