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TNeXt: A convolutional neural network for remote harbor classification
DOI:10.1016/j.asej.2025.103545.png)
Abstract
En 中文
Harbor recognition from aerial images faces two main challenges: deep models are often too large for real-time use on drones, and there is no large, diverse harbor dataset to train them. This work overcomes these obstacles in two ways.
Keywords:
TNeXt
Harbor classification
CNN
Computer vision
Location detection
Journal
IF:
5.9
Papers:
3.4K
Citations:
1.2W

