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Event cameras can now estimate depth with significantly improved temporal consistency and accuracy thanks to a novel distillation approach from video foundation models, achieving a 53% reduction in depth error.
By explicitly disentangling degradation and semantic features with wavelet attention, CWP-Net achieves superior all-in-one image restoration, outperforming previous methods hampered by spurious correlations and biased degradation estimation.
Maritime navigation gets a brain boost: NaviMind's neuro-symbolic approach leaps beyond pattern matching to achieve regulation-compliant, interpretable decision-making for autonomous surface vessels.
