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Hyper-RED: Scalable Event Pre-training via Semantic Hypergraph Distillation

Wang, Meisen et al.
arXiv (OAI Expanded) · Papers
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computer-vision-and-pattern-recognition
Event cameras have shown great potential for robust visual perception, yet scaling event representation learning remains challenging due to the scarcity of large-scale annotated event data. Pretrained image models provide scalable semantic supervision, but existing image-to-event methods rely on rig
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