Researchinstance segmentationdepth estimationunsupervised learninghigh speed imaging
Single-Camera Framework Estimates Bubble Depth Proxy
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8.1
Chaitanya Nayak and colleagues (submitted Jan 29, 2026) introduce a machine-learning framework that detects bubbles and estimates their depth using a single 20 kHz high-speed camera with 3 µm resolution. The method combines unsupervised clustering to create pseudo-labels with a small set of in-plane annotations to train a semi-supervised model, producing continuous depth-proxy scores and robust instance segmentation with AP 0.818.
Scoring Rationale
High practical novelty and usability drive score, limited by preprint status and relatively narrow experimental scope.
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