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

Showing 4150 of 145 papers

TitleStatusHype
Entropy Minimisation Framework for Event-based Vision Model EstimationCode1
Asynchronous Bioplausible Neuron for SNN for Event Vision0
Deep Event Stereo Leveraged by Event-to-Image Translation0
DART: Distribution Aware Retinal Transform for Event-based Cameras0
ASAP: Adaptive Scheme for Asynchronous Processing of Event-based Vision Algorithms0
AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision0
3D Human Scan With A Moving Event Camera0
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation0
EV-Flying: an Event-based Dataset for In-The-Wild Recognition of Flying Objects0
Event-based Vision: A Survey0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43Unverified