May 25, 2022, 1:12 a.m. | Hung-Min Hsu, Xinyu Yuan, Baohua Zhu, Zhongwei Cheng, Lin Chen

cs.CV updates on arXiv.org arxiv.org

Package theft detection has been a challenging task mainly due to lack of
training data and a wide variety of package theft cases in reality. In this
paper, we propose a new Global and Local Fusion Package Theft Detection
Embedding (GLF-PTDE) framework to generate package theft scores for each
segment within a video to fulfill the real-world requirements on package theft
detection. Moreover, we construct a novel Package Theft Detection dataset to
facilitate the research on this task. Our method …

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