Code supporting the paper "Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling"

Official codebase for the CVPR 2025 workshop paper:

> Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling

> Hesam Araghi, Jan van Gemert, Nergis Tomen

> Delft University of Technology

> [Paper PDF: http://arxiv.org/abs/2505.21187

🔍 Overview

Event cameras offer high temporal resolution and power efficiency, but their high event rates can overload processing systems. We explore six hardware-friendly event subsampling methods and assess their impact on event-based video classification.

🔑 Key Contributions

📊 Systematic evaluation of 6 causal, hardware-friendly subsampling methods.

🧠 Proposal of a causal density-based subsampling technique to test the hypothesis that dense regions contain more information.

📉 Analysis of accuracy–efficiency trade-offs across three benchmark datasets.