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Paper · arXiv

BagDINO: Multi-View Baggage Re-Identification with DINOv3

Mishandled checked baggage remains a recurrent issue in airport operations, and current recovery workflows still largely rely on tag-based tracking, which does not directly support visual identification when tag evidence is missing or unavailable. This paper investigates baggage re-identification as an instance-level retrieval problem in a multi-camera setting, leveraging DINOv3 foundation-model representations to match a query image against a gallery of registered baggage images. A Torchreid-style BNNeck re-identification head is placed on top of a DINOv3 backbone, and parameter-efficient adaptation is performed via LoRA. Experiments are conducted on the MVB benchmark using a progressive...

AuthorsVita Santa Barletta, Danilo Caivano, Rebecca Margiotta et al.
Primary categorycs.CV
Published7 October 2026
Last updated at source7 October 2026
cs.CV
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