IEEE Transactions · 2022 · Journal article

A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items

Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi

Khalifa University of Science and Technology · Intel (United States) · The University of Western Australia · Mohamed bin Zayed University of Artificial Intelligence

Published in
IEEE Transactions on Systems Man and Cybernetics Systems
Date
2021-12-13
Citations
38
arXiv
2201.02560
Cite
@article{hassan2022novel,
  title = {A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items},
  author = {Taimur Hassan and Samet Akçay and Mohammed Bennamoun and Salman Khan and Naoufel Werghi},
  year = {2022},
  journal = {IEEE Transactions on Systems Man and Cybernetics Systems},
  eprint = {2201.02560},
  archivePrefix = {arXiv},
  doi = {10.1109/TSMC.2021.3131421},
  url = {https://arxiv.org/abs/2201.02560},
}