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Explicitly modeling forward scattering and marine snow effects can drastically enhance the visual quality of underwater imagery, making robotic monitoring more effective.
Ditch the negative samples: this self-supervised method learns traversability by detecting anomalies relative to a learned "safe" hypersphere.
