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Domain Adaptive Detection of MAVs: A Benchmark and Noise Suppression Network
March 26, 2024, 4:48 a.m. | Yin Zhang, Jinhong Deng, Peidong Liu, Wen Li, Shiyu Zhao
cs.CV updates on arXiv.org arxiv.org
Abstract: Visual detection of Micro Air Vehicles (MAVs) has attracted increasing attention in recent years due to its important application in various tasks. The existing methods for MAV detection assume that the training set and testing set have the same distribution. As a result, when deployed in new domains, the detectors would have a significant performance degradation due to domain discrepancy. In this paper, we study the problem of cross-domain MAV detection. The contributions of this …
abstract application arxiv attention benchmark cs.cv cs.ro detection distribution domain micro network noise set tasks testing training type vehicles visual
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
1 day, 10 hours ago |
arxiv.org
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