arXiv (All)
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The Shape of Events: Edge-Based Inductive Biases via Cross-Domain Distillation
Convolutional neural networks trained on ImageNet are known to exhibit a strong preference for local high-frequency texture, an inductive bias that translates into fragile robustness against distribution shifts in real-world environments. Event cameras, in contrast, record only changes in scene brig
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