Feb 14, 2024 · Experimental results demonstrate that the mean Average Precision at IoU 50 (mAP 50) of the YOLOv8-AM model based on ResBlock + CBAM (ResCBAM) increased from 63.6% to 65.8%, which achieves the state-of-the-art (SOTA) performance. Conversely, YOLOv8-AM model incorporating GAM obtains the mAP 50 value of …

In Ham, Jennifer, Ulrich Kinzel, and David Tse-chien Pan. The Origins of German Self-Cultivation: Bildung and the Future of the Humanities (pp. 151-154). Oxford: Berghahn.

Mar 31, 2025 · Combined heart rate variability and dynamic measures for quantitatively characterizing the cardiac stress status during cycling exercise. Comput. Biol. Medicine, 2015.

Chun-Tse Chien 1, Rui-Yang Ju 2, Kuang-Yi Chou 3, and Jen-Shiun Chiang 1,* 1 Department of Electrical and Computer Engineering, Tamkang University, No.151, Yingzhuan Rd., Tamsui Dist., New Taipei City, 251301, Taiwan; [email protected] (Chun-Tse Chien)

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Jun 12, 2024 · Since attention mechanisms [14-18] have excellent results in enhancing the performance of neural network models, Chien et al. achieved the state-of-the-art (SOTA) performance by incorporating different attention mechanisms into the YOLOv8 model.