「通常の畳み込み（Standard Convolution）を、『空間方向の処理』と『チャンネル方向の処理』の2つのステップに分解することで、計算量とパラメータ数を劇的に削減する手法」のことです。 仕組みの核心: 通常の畳み込みは、「空間的な特徴（縦×横）」と ...

MobileNetで使われるDepthwise Separable Convolutionについて、簡単な例を用いて解説します。 Depthwise Separable Convolutionとは？ Depthwise Separable Convolutionは、通常の畳み込み演算を2つのステップに分解することで、計算量を大幅に減らす手法です。 1. 通常の畳み込み（例 ...

Abstract: Fast and efficient recognition of 3D objects remains vital in computer vision. View-based recognition has gained increasing attention because it mimics human perception by recognizing ...

Abstract: The implementation of surface electromyography (sEMG)-based hand gesture recognition on mobile and wearable systems is frequently restricted by the finite computing, memory, and battery ...

See https://arxiv.org/pdf/1704.04861.pdf for details. This module can replace a ConvModule with the conv block replaced by two conv block: depthwise conv block and ...

The journal retracts the 07 March 2022 article cited above. Following publication, the publisher has found evidence of peer review manipulation. As the scientific integrity of the article cannot be ...