Training results of our network on dataset 2.

Training results of our network on dataset 2.

<p>This graph provides a detailed visual analysis of the model’s performance over a series of training iterations, allowing for a comprehensive review of the model’s learning progress and results.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Baocheng Pei (20501647) (author)
مؤلفون آخرون:	Yanan Sun (316649) (author), Yebiao Fu (20501650) (author), Ting Ren (1344075) (author)
منشور في:	2025
الموضوعات:	Biotechnology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified spatial convolution operation phenomenon mainly lie feature extraction capability deformable attention mechanism achieve better results capture temporal information athletes &# 8217 individual target actions proposed method outperforms motion management scenarios temporal information motion management proposed method sports actions target overlap proposed methodology motion scene method include target detection xlink "> usually necessary two types tsm module sports scene sports level sports equipment specific moment source datasets network models module reduces main contributions first time experiments prove especially important designed network decoupling structure daily training conduct experiments classification tasks classification task analysis found accurately identify ablation experiments 5 score 298 %.
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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