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 121–130 of 145 papers

TitleStatusHype
Deep Event Stereo Leveraged by Event-to-Image Translation—0
Neutron-Induced, Single-Event Effects on Neuromorphic Event-based Vision Sensor: A First Step Towards Space Applications—0
Learning to Detect Objects with a 1 Megapixel Event Camera—0
Entropy Minimisation Framework for Event-based Vision Model EstimationCode1
Lossy Event Compression based on Image-derived Quad Trees and Poisson Disk Sampling—0
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network—0
Exploration of Reinforcement Learning for Event Camera using Car-like Robots—0
A Large Scale Event-based Detection Dataset for AutomotiveCode1
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural NetworksCode0
Event Cameras, Contrast Maximization and Reward Functions: An AnalysisCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified