Schematic of Fusion Loss calculation framewor. حسب Chong Zhang (418677)

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Loss curve. حسب Jiexiang Yang (19980594)

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S1 Data - CSW-YOLO: A traffic sign small target detection algorithm based on YOLOv8 حسب Qian Shen (89639)

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Functional pattern of the proposed method for depression detection. حسب Umme Marzia Haque (11846815)

Performance comparison of different Fusion Loss parameters. حسب Chong Zhang (418677)

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AP values of three methods on the three datasets, including four indicators: AP @50, AP @75, AP @M, and AP @L. Experiment one is the baseline model without adding other modules, ex... حسب Xunqian Xu (21261899)

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The difference between the end points of the objective function for different minimum requirement satisfaction rates. حسب Yuhang Wang (332111)

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). حسب Xiaojun Wang (50332)

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Cost function coefficients for all CHPs in MMGs. حسب Hamid Amini Khanavandi (19267750)

A fast algorithm for the accelerated failure time model with high-dimensional time-to-event data حسب Taehwa Choi (10880618)

"…This can be done by using a second-order approximation of the smoothed estimating function and coordinate decent algorithm. Through extensive simulation studies, we examine several well-known penalties and show that our method is robust and computationally efficient with minimal loss of precision. …"

Performance Comparison of Different Improvement Methods. حسب Guofeng Qin (11025170)

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Volume, density and diversity of different human detection training datasets. حسب Guofeng Qin (11025170)

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Comparison of detection performance of different detection methods. حسب Guofeng Qin (11025170)

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Improved YOLOv5s-DeepSORT network structure. حسب Guofeng Qin (11025170)

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Schematic diagram of MHSA mechanism. حسب Guofeng Qin (11025170)

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Improved FPN combined with PAN structure. حسب Guofeng Qin (11025170)

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YOLOv5s network structure. حسب Guofeng Qin (11025170)

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Improved YOLOv5s network structure. حسب Guofeng Qin (11025170)

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Comparison of tracking performance of different methods. حسب Guofeng Qin (11025170)

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Comparison of Tracking Performance Among Different Improvement Methods with YOLOv5s (↓represents “Lower is better”, ↑ represents “Higher is better”). حسب Guofeng Qin (11025170)

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