mlsanityData to 14 Oct 2026

Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection

arXiv 2507.07994 ↗First posted 10 Jul 2025cs.CVcited by 0

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Abstract (arXiv)

Keypoint detection, integral to modern machine perception, faces challenges in few-shot learning, particularly when source data from the same distribution as the query is unavailable. This gap is addressed by leveraging sketches, a popular form of human expression, providing a source-free alternative. However, challenges arise in mastering cross-modal embeddings and handling user-specific sketch styles. Our proposed framework overcomes these hurdles with a prototypical setup, combined with a grid-based locator and prototypical domain adaptation. We also demonstrate success in few-shot convergence across novel keypoints and classes through extensive experiments.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 112 of its 147 references that are in the map. First posted on arXiv 10 Jul 2025.

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112 of 147 references.

References · 112

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38 more
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