Event-based gaze control system with s-CMax offline spin estimation and CNN online refinement achieves 8.8% magnitude error and 3 ms latency on professional table tennis matches.
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NL-MambaXCT combines masked image modeling pretraining with nested learning in a hybrid RegNet-Mamba encoder to reach 96.91% accuracy on Nomex honeycomb XCT defect classification using limited labels.
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Event-based Gaze Control System for Accurate Real-time Spin Estimation in Professional Ball Games
Event-based gaze control system with s-CMax offline spin estimation and CNN online refinement achieves 8.8% magnitude error and 3 ms latency on professional table tennis matches.