mlsanityData to 14 Oct 2026

Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition

arXiv 2108.09603 ↗First posted 22 Aug 2021cs.CVcited by 6

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Abstract (arXiv)

Automated systems designed for screening contraband items from the X-ray imagery are still facing difficulties with high clutter, concealment, and extreme occlusion. In this paper, we addressed this challenge using a novel multi-scale contour instance segmentation framework that effectively identifies the cluttered contraband data within the baggage X-ray scans. Unlike standard models that employ region-based or keypoint-based techniques to generate multiple boxes around objects, we propose to derive proposals according to the hierarchy of the regions defined by the contours. The proposed framework is rigorously validated on three public datasets, dubbed GDXray, SIXray, and OPIXray, where it outperforms the state-of-the-art methods by achieving the mean average precision score of 0.9779, 0.9614, and 0.8396, respectively. Furthermore, to the best of our knowledge, this is the first contour instance segmentation framework that leverages multi-scale information to recognize cluttered and concealed contraband data from the colored and grayscale security X-ray imagery.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 27 of its 94 references that are in the map. First posted on arXiv 22 Aug 2021.

Builds on

27 of 94 references.

References · 27

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15 more
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Built on by

Cited by year

Citing papers per year: 2021: 3; 2022: 2; 2023: 0; 2024: 0; 2025: 1.

6 papers.

  1. 2025STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security Inspectioncited by 5
  2. 2022An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographscited by 4
  3. 2021Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learningcited by 3
  4. 2022A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Itemscited by 3
  5. 2021Automated segmentation and extraction of posterior eye segment using OCT scanscited by 2
  6. 2021Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threatscited by 1