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# Binary Neural Network

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  1. arXiv

    Binary neural networks beat full-precision ResNet-18 on event-camera classification with fewer operations, reaching 90.58% on N-Caltech101

    This work adapts modern binary neural networks (BNNs) to event-camera data, introduces the Polar-wise Binary Event Volume (PBEV) binary representation and binarizes the network input layer, and shows that with knowledge distillation and RGB cross-modal pretraining BNNs match or exceed full-precision ResNet-18 on N-Caltech101 and N-ImageNet-mini classification, with a best result of 90.58% at fewer operations.

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