The comparison between VMamba and our proposed ResVMamba.

The comparison between VMamba and our proposed ResVMamba.

<p>The comparison between VMamba and our proposed ResVMamba.</p>

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Bibliographic Details
Main Author:	Chi-Sheng Chen (3005958) (author)
Other Authors:	Guan-Ying Chen (11995208) (author), Dong Zhou (313567) (author), Di Jiang (258208) (author), Daishi Chen (580656) (author), Shao-Hsuan Chang (499135) (author)
Published:	2025
Subjects:	Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified proposed methodology establishes improve representation learning hierarchical feature extraction convolutional neural networks unlike previous fine maintaining high accuracy 1 classification accuracy food requiring fine whereas vision transformers vits ), containing local state features grained classification models grained classification vision transformers improving fine 5 accuracy local dependencies food recognition xlink "> space framework new benchmark method leverages key role heavily rely findings elucidate efficiently capture concurrently harness computational nutrition computational efficiency burgeoning field attention module attention mechanisms approach enables 83 %.
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