Feature matching on images with very little texture. حسب Yide Di (20969124)

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The overview of UFM and the MIA transformer. The UFM model encompasses all the processes involved in image enhancement, feature extraction, coarse matching, and fine matching. The... حسب Yide Di (20969124)

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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 al... حسب Yide Di (20969124)

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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)

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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)

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Data augmentation is applied both geometrically and in terms of intensity. Geometrically, the images are mirrored, flipped, rotated, and randomly cropped. For intensity augmentatio... حسب Yide Di (20969124)

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Feature matching of same-modal images. (a) SuperGlue (b) MatchFomer (c) LoFTR (d) UFM. The matches with less than 1 pixel error are represented by lines. حسب Yide Di (20969124)

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MMA estimation on multi-modal images in SEN12MS dataset. حسب Yide Di (20969124)

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Fine-tuning on different-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 Fi... حسب Yide Di (20969124)

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Illustration of feature matching of UFM. When working with specific data, the pre-trained backbone is frozen, and only the corresponding modal assistants need to be fine-tuned for... حسب Yide Di (20969124)

الموضوعات:

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... حسب Yide Di (20969124)

الموضوعات:

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.... حسب Yide Di (20969124)

الموضوعات:

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 WH... حسب Yide Di (20969124)

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AugPerSumm: Augmented User Behavior Trajectory Data Collection for Personalized Summarization حسب Parthiv Chatterjee (22407961)

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The illustration of the core idea of DACB-PolarMix. حسب Bo Liu (127343)

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Visualization of comparative experiment results. The content within the red line box demonstrates the various performances of semantic segmentation. حسب Bo Liu (127343)

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The visualization of a 3D point cloud. حسب Bo Liu (127343)

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The illustration of instance-level operation of PolarMix. حسب Bo Liu (127343)

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