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Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look
Self-supervised contrastive learning heavily relies on the view variance brought by data augmentation, so that it can learn a view-invariant pre-trained representation.
SeqXFilter: A Memory-efficient Denoising Filter for Dynamic Vision Sensors
We not only give the visual denoising effect of the filter but also use two metrics for quantitatively analyzing the filter's performance.
A Noise Filter for Dynamic Vision Sensors using Self-adjusting Threshold
Neuromorphic event-based dynamic vision sensors (DVS) have much faster sampling rates and a higher dynamic range than frame-based imagers.
Emerging Technologies Signal Processing
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