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Flow-Based Visual Stream Compression for Event Cameras
The introduced method itself is shown to achieve an average compression ratio of 2. 81 on a variety of event-camera datasets with the evaluation configuration used.
Efficient and Low-Footprint Object Classification using Spatial Contrast
Binarized MicronNet achieves an F1-score of 94. 4% using spatial contrast, compared to only 56. 3% when using RGB input images.
hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow
Further, we present hARMS, a hardware realization of the fARMS algorithm allowing for real-time computation of true flow on low-power, embedded platforms.
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