An event-camera system with active gaze control and contrast-maximization spin estimation achieves real-time performance in table tennis with 8.8% magnitude error, 6.4° axis error, 3 ms latency, and 750 Hz throughput.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
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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NL-MambaXCT: Self-Supervised Nested-Learning Mamba for Nomex Honeycomb X-ray CT Defect Classification
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.