Please note that the dataset used to train this model is a custom-created, ultra-high-quality dataset derived from MS-COCO. Therefore, a simple comparison with the Val mAP values of other object ...
You already know counterfeiters sell fake products, most of which should be considered dangerous, but did you know they’re building complex systems to stay hidden? Traditional detection methods like ...
With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...
Abstract: Accurate and efficient small object detection using multimodal remote sensing images on resource-constrained aerial platforms is a challenging task. Most existing solutions rely on complex ...
The broad range of Scolytinae pests sizes and their subtle visual similarities, especially in smaller species, continue to challenge the accuracy of mainstream object detection models. To address ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...
The race between deepfake creators and detectors has entered a new phase, with researchers from the Netherlands revealing tech that reads the human heartbeat through video analysis. While artificial ...
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