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The STIRC2025 reveals significant advancements in surgical point tracking, with participants achieving notable accuracy and efficiency in real-time applications.
Despite advances in AI-driven surgical skill assessment, reliably tracking hands and tools in open surgery videos remains a surprisingly difficult problem, hindering motion-based analysis.
Multimodal behavioral cloning fails in surprising ways: latent-variable policies can't balance regularization, while action-space generative policies are fundamentally limited by the smoothness of their action mappings.
