AW-GATCN uses adaptive segmentation, multi-factor edge weighting, and graph attention to remove noise from event data and improve object recognition accuracy on four benchmarks.
A 240×180 10mW 12us latency sparse-out put vision sensor for mobile applications,
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AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition
AW-GATCN uses adaptive segmentation, multi-factor edge weighting, and graph attention to remove noise from event data and improve object recognition accuracy on four benchmarks.