ALDI-ray: Adapting the ALDI Framework for Security X-ray Object Detection

• URL: http://arxiv.org/abs/2512.02696v1
• Date: Tue, 02 Dec 2025 12:28:07 GMT
• Title: ALDI-ray: Adapting the ALDI Framework for Security X-ray Object Detection
• Authors: Omid Reza Heidari, Yang Wang, Xinxin Zuo,
• Abstract summary: Security X-ray imaging presents a unique challenge due to variations in scanning devices and environmental conditions.<n>We apply ALDI++, a domain adaptation framework that integrates self-distillation, feature alignment, and enhanced training strategies.<n>We conduct extensive experiments on the EDS dataset, demonstrating that ALDI++ surpasses the state-of-the-art (SOTA) domain adaptation methods.
• Score: 10.006573973631655
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Domain adaptation in object detection is critical for real-world applications where distribution shifts degrade model performance. Security X-ray imaging presents a unique challenge due to variations in scanning devices and environmental conditions, leading to significant domain discrepancies. To address this, we apply ALDI++, a domain adaptation framework that integrates self-distillation, feature alignment, and enhanced training strategies to mitigate domain shift effectively in this area. We conduct extensive experiments on the EDS dataset, demonstrating that ALDI++ surpasses the state-of-the-art (SOTA) domain adaptation methods across multiple adaptation scenarios. In particular, ALDI++ with a Vision Transformer for Detection (ViTDet) backbone achieves the highest mean average precision (mAP), confirming the effectiveness of transformer-based architectures for cross-domain object detection. Additionally, our category-wise analysis highlights consistent improvements in detection accuracy, reinforcing the robustness of the model across diverse object classes. Our findings establish ALDI++ as an efficient solution for domain-adaptive object detection, setting a new benchmark for performance stability and cross-domain generalization in security X-ray imagery.

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