Improved dilation CapsuleNet for motor imagery and mental arithmetic classification based on fNIRS by Yu Li, Tao Xu, Junhua Li, Feng Wan, Hongtao Wang

“…Ablation experiments were conducted to assess the usefulness of large-kernel convolution, dynamic routing, and dilation convolution.Results The average accuracies for each dataset were 95.01%, 76.88%, 74.03%, and 80.29% respectively. …”
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MDD-YOLOv8: A Multi-Scale Object Detection Model Based on YOLOv8 for Synthetic Aperture Radar Images by Jie Liu, Xue Liu, Huaixin Chen, Sijie Luo

“…Our proposed model outperforms the baseline YOLOv8 in SAR image detection by utilizing dynamic convolution to replace static convolution (DynamicConv) and incorporating a deformable large kernel attention mechanism (DLKA). …”
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RMVAD-YOLO: A Robust Multi-View Aircraft Detection Model for Imbalanced and Similar Classes by Keda Li, Xiangyue Zheng, Jingxin Bi, Gang Zhang, Yi Cui, Tao Lei

“…Second, we propose the Shared Convolutional Dynamic Alignment Detection Head (SCDADH), which enhances task interaction and collaboration by sharing convolutions between the classification and localization branches while simultaneously reducing the number of parameters, enhancing the model’s ability to deal with multi-scale targets. …”
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