EventMix: An Efficient Augmentation Strategy for Event-Based Data

Understand

High-quality and challenging event stream datasets play an important role in the design of an efficient event-driven mechanism that mimics the brain.

• Although event cameras can provide high dynamic range and low-energy event stream data, the scale is smaller and more difficult to obtain than traditional frame-based data, which restricts the development of neuromorphic computing.
• Data augmentation can improve the quantity and quality of the original data by processing more representations from the original data.
• This paper proposes an efficient data augmentation strategy for event stream data: EventMix.