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supplementary material semi-supervised dense keypoint

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Supplementary Material Semi-supervised Dense Keypoints using Unlabeled Multiview Images

Neural Information Processing SystemsAug-16-2025, 00:05:41 GMT

Image data is pre-processed in the standard way: cropping, resizing, and then normalizing using the mean and standard deviation of RGB values of ImageNet dataset. Note that for this experiment we only using "Walking" Heatmaps overlapping on images indicate epipolar error for each pixels. We characterize some failure cases in terms of geometric consistency, as shown in Figure 1. Our approach fails when the following assumptions do not hold. There must be enough corresponding points between two views.

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Neural Information Processing Systems

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