Examples of the image pairs of different modals. (a) The SEN 12 MS dataset. a1. Optical a2. SAR a3. NIR a4. SWIR (b) The RGB-NIR Scene dataset. b1. RGB b2. Near-Infrared (c) The WHU-OPT-SAR dataset. c1. Optical c2. SAR (d) The Optical-SAR dataset. d1. Optical d2. SAR (e) The BrainWeb dataset. e1. T1 e2. T2 (f) The NYU-Depth V2 dataset. f1. Depth f2. RGB (g) The UV/Green Image dataset. g1. UV g2. Green.

مواد مشابهة

• MMA estimation on different multi-modal image datasets. The modal of the images: (1) RGB-NIR, (2) Optical-SAR, (3) Optical-SAR, (4) T1-T2 (5) RGB-Depth, (6) UV-Green.
  حسب: Yide Di (20969124)
  منشور في: (2025)
• Feature matching of different-modals images: (a) MatchosNet (b) LoFTR (c) FeMIP, and (d) UFM. The datasets from top to bottom are: SEN 12 MS dataset, RGB-NIR Scene dataset, WHU-OPT-SAR dataset, Optical-SAR dataset, BrainWeb dataset, NYU-Depth V2 dataset and UV-Green dataset. The images of SEN 12 MS dataset, RGB-NIR Scene dataset and WHU-OPT-SAR dataset are rotated and the images of the Optical-SAR dataset and the NYU-Depth V2 dataset are cropped. The matches with less than 1 pixel error are represented by lines.
  حسب: Yide Di (20969124)
  منشور في: (2025)
• Illustration of pre-training. The pre-training of NIR and SAR images is taken here as an example. Pre-training consists of 3 stages: (1) pre-train the general FFN, (2) pre-train all X-X assistants, and (3) pre-train all X-Y assistants.
  حسب: Yide Di (20969124)
  منشور في: (2025)
• Examples of the image pairs of the same modal. (a) The Hpatches dataset. (b) The InLoc dataset. (c) The Aachen Day-Night v1.1 dataset.
  حسب: Yide Di (20969124)
  منشور في: (2025)
• MMA estimation on multi-modal images in SEN12MS dataset.
  حسب: Yide Di (20969124)
  منشور في: (2025)