Fine-tuning on same-model feature matching tasks. The X-FFN and Y-FFN represent the assistants of any two kinds of pre-trained different modal images in the second stage of Fig 4. The fine-tuning of the X-modal image and the fine-tuning of the Y-modal image are independent of each other.

<p>Fine-tuning on same-model feature matching tasks. The X-FFN and Y-FFN represent the assistants of any two kinds of pre-trained different modal images in the second stage of Fig 4. The fine-tuning of the X-modal image and the fine-tuning of the Y-modal image are independent of each other.<...

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Main Author: Yide Di (20969124) (author)
Other Authors: Yun Liao (160524) (author), Hao Zhou (136535) (author), Kaijun Zhu (18283913) (author), Qing Duan (541846) (author), Junhui Liu (2063140) (author), Mingyu Lu (2333083) (author)
Published: 2025
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Summary:<p>Fine-tuning on same-model feature matching tasks. The X-FFN and Y-FFN represent the assistants of any two kinds of pre-trained different modal images in the second stage of Fig 4. The fine-tuning of the X-modal image and the fine-tuning of the Y-modal image are independent of each other.</p>