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Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba
However, this approach neglects the sparsity of event data, loses fine-grained temporal information during the transformation process, and increases the computational burden, making it ineffective for characterizing event camera properties.
RL-MUL: Multiplier Design Optimization with Deep Reinforcement Learning
The agent can learn to optimize the multiplier structure based on a Pareto-driven reward which is customized to accommodate the trade-off between area and delay.
A Simple and Effective Point-based Network for Event Camera 6-DOFs Pose Relocalization
These cameras implicitly capture movement and depth information in events, making them appealing sensors for Camera Pose Relocalization (CPR) tasks.
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