SOTAVerified

Event-based vision

An event camera, also known as a neuromorphic camera, silicon retina or dynamic vision sensor, is an imaging sensor that responds to local changes in brightness. Event cameras do not capture images using a shutter as conventional cameras do. Instead, each pixel inside an event camera operates independently and asynchronously, reporting changes in brightness as they occur and staying silent otherwise. Modern event cameras have microsecond temporal resolution, 120 dB dynamic range, and less under/overexposure and motion blur than frame cameras.

Papers

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Showing 31–40 of 145 papers

TitleStatusHype
Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision—0
Increasing the scalability of graph convolution for FPGA-implemented event-based vision—0
SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception—0
BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events—0
Non-Invasive Qualitative Vibration Analysis using Event Camera—0
GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian SplattingCode1
Secrets of Edge-Informed Contrast Maximization for Event-Based Vision—0
On the Benefits of Visual Stabilization for Frame- and Event-based PerceptionCode1
Recent Event Camera Innovations: A SurveyCode3
Optimal OnTheFly Feedback Control of Event Sensors—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified