The performance of different semantic segmentation models on the self-constructed validation dataset.

<p>The performance of different semantic segmentation models on the self-constructed validation dataset.</p>

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Bibliographic Details
Main Author:	Yinlei Cheng (21368228) (author)
Other Authors:	Qingfu Li (3639637) (author)
Published:	2025
Subjects:	Neuroscience Science Policy Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified understanding temporal dynamics simulation training dataset provide early warnings perform situational awareness inertial navigation systems enhancing flight safety demonstrated outstanding performance experimental results show aircraft simulation dataset net performs effectively aircraft route scheduling stateconvblock integrates mamba track aircraft results demonstrate monitor aircraft performs multi thereby assisting symmetrical encoder surrounding environment space models significant challenge scale fusion precision pixel pixel accuracy paper proposes nvidia a100 neural network net attained net ), method utilizes mean intersection level segmentation inference speed fundamental module decoder structure contextual information computational efficiency aviation sector achieve high 40gb gpu
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