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02/19/2023
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection
Adversarial attacks are valuable for evaluating the robustness of deep l...
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04/13/2022
Defensive Patches for Robust Recognition in the Physical World
To operate in real-world high-stakes environments, deep learning systems...
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08/23/2021
Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection
Prohibited items detection in X-ray images often plays an important role...
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03/10/2021
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
Few-shot learning is an interesting and challenging study, which enables...
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03/01/2021
Diversifying Sample Generation for Accurate Data-Free Quantization
Quantization has emerged as one of the most prevalent approaches to comp...
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03/01/2021
Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images
Security inspection is X-ray scanning for personal belongings in suitcas...
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04/18/2020