(20969124), Y. D., (160524), Y. L., (136535), H. Z., (18283913), K. Z., (541846), Q. D., (2063140), J. L., & (2333083), M. L. (2025). 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.
Chicago Style (17th ed.) Citation(20969124), Yide Di, Yun Liao (160524), Hao Zhou (136535), Kaijun Zhu (18283913), Qing Duan (541846), Junhui Liu (2063140), and Mingyu Lu (2333083). 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. 2025.
MLA (9th ed.) Citation(20969124), Yide Di, et al. 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. 2025.