Preserving Fine-Grained Droplet Structures by Spatial Gaussian Blurring Against Pooling Deformation in U-Net-Based Semantic Segmentation

Pooling operations in convolutional neural networks often lead to the loss of fine-grained object features, particularly when those objects occupy only a few pixels (e.g., <inline-formula> <tex-math notation="LaTeX">$5 \times 5$ </tex-math></inline-formula> or smaller). This problem is critical in d...

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主要な著者:	Wei Lun Lim, Matthew Y. W. Teow, Richard T. K. Wong, Sian Lun Lau
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2026-01-01
シリーズ:	IEEE Access
主題:	Computer vision fine-grained semantic segmentation Gaussian blurring graph convolution convolutional network
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11394763/
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