高次モーメントの重要性を強調し、グローバルな空間的コンテキストを捉えるためのMoment Channel Attention(MCA)フレームワークが提案されました。
Moment Channel Attention (MCA) framework enhances model capacity by incorporating high-order moments and cross-channel features efficiently.
Bridging attention, particularly the BAv2 module, enhances channel attention in deep neural networks by integrating features from preceding convolutional layers, leading to improved performance in various computer vision tasks.