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...
Wedi'i Gadw mewn:
| Prif Awduron: | , , , |
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| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
IEEE
2026-01-01
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| Cyfres: | IEEE Access |
| Pynciau: | |
| Mynediad Ar-lein: | https://ieeexplore.ieee.org/document/11394763/ |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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