Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
Authors: name: Subhajit Maity, name: Ayan Kumar Bhunia, name: Subhadeep Koley, name: Pinaki Nath Chowdhury, name: Aneeshan Sain, name: Yi-Zhe Song

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.