Highly Imbalanced Baggage Threat Classification

Author:

Ahmed Abdelfatah1ORCID,Velayudhan Divya1ORCID,Hassan Taimur1ORCID,Bennamoun Mohammed2ORCID,Damiani Ernesto1ORCID,Werghi Naoufel1ORCID

Affiliation:

1. Department of EECS, Khalifa University, UAE

2. Department of Computer Science and Software Engineering, University of Western Australia, Australia

Funder

Abu Dhabi Department of Education and Knowledge

Khalifa University of Science, Technology and Research

Publisher

ACM

Reference43 articles.

1. A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation

2. Balanced Affinity Loss for Highly Imbalanced Baggage Threat Contour-Driven Instance Segmentation

3. Baggage Threat Detection Under Extreme Class Imbalance

4. Sifat Ahmed , Tonmoy Hossain , Oishee Bintey Hoque , Sujan Sarker , Sejuti Rahman , and Faisal Muhammad Shah . 2021. Automated covid-19 detection from chest x-ray images: a high-resolution network (hrnet) approach. SN computer science 2, 4 ( 2021 ), 1–17. Sifat Ahmed, Tonmoy Hossain, Oishee Bintey Hoque, Sujan Sarker, Sejuti Rahman, and Faisal Muhammad Shah. 2021. Automated covid-19 detection from chest x-ray images: a high-resolution network (hrnet) approach. SN computer science 2, 4 (2021), 1–17.

5. Samet Akcay , Amir Atapour-Abarghouei , and Toby  P Breckon . 2018 . Ganomaly: Semi-supervised anomaly detection via adversarial training . In Asian conference on computer vision. Springer, 622–637 . Samet Akcay, Amir Atapour-Abarghouei, and Toby P Breckon. 2018. Ganomaly: Semi-supervised anomaly detection via adversarial training. In Asian conference on computer vision. Springer, 622–637.

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