Soshun Kihara

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 brightness and are there...