Mine-JEPA: In-Domain Self-Supervised Learning for Mine-Like Object Classification in Side-Scan Sonar
Mine-JEPA: In-Domain Self-Supervised Learning for Mine-Like Object Classification in Side-Scan Sonar explores Mine-JEPA is an in-domain self-supervised learning pipeline for side-scan sonar mine classification, outperforming larger foundation models in data-scarce maritime imagery.. Commercial viability score: 4/10 in Computer Vision.
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