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