SENetV2: Aggregated dense layer for channelwise and global representations
M Narayanan - arXiv preprint arXiv:2311.10807, 2023 - arxiv.org
Convolutional Neural Networks (CNNs) have revolutionized image classification by
extracting spatial features and enabling state-of-the-art accuracy in vision-based tasks. The …
extracting spatial features and enabling state-of-the-art accuracy in vision-based tasks. The …
SENetV2: Aggregated dense layer for channelwise and global representations
M Narayanan - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Abstract Convolutional Neural Networks (CNNs) have revolutionized image classification by
extracting spatial features and enabling state-of-the-art accuracy in vision-based tasks. The …
extracting spatial features and enabling state-of-the-art accuracy in vision-based tasks. The …