Quantitative comparison results between the state-of-the-art classification method, ↑ and ↓ denoting bigger and smaller, respectively.

<p>Quantitative comparison results between the state-of-the-art classification method, ↑ and ↓ denoting bigger and smaller, respectively.</p>

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Bibliographic Details
Main Author:	Huimin Gong (5949155) (author)
Other Authors:	Cheng Zhang (70708) (author), Jinlin Teng (17972595) (author), Chunqing Liu (424072) (author)
Published:	2025
Subjects:	Ecology Science Policy Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified models salient features extract salient features experimental results show dataset collection limitations artificial intelligence technology grained classification problems grained classification problem multiview attention networks attention knowledge distillation precise watershed classification grained watershed classification related modeling problems enhanced learning outcomes view attention module module enhances fine related watershed fine div >< p view watershed fine grained classification accuracy teacher achieves state watershed classification view fine global attention benchmark outcomes attentional modeling kd achieves termed mvwd teacher network rapid development proposed cvam made available intersecting views increasing number good balance extensive number device deployment cvam ), 68g computation
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