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 101–110 of 145 papers

TitleStatusHype
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras—0
Neutron-Induced, Single-Event Effects on Neuromorphic Event-based Vision Sensor: A First Step Towards Space Applications—0
Non-Invasive Qualitative Vibration Analysis using Event Camera—0
BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events—0
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network—0
Unsupervised Spiking Instance Segmentation on Event Data using STDP—0
Optimal OnTheFly Feedback Control of Event Sensors—0
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision—0
Attention Mechanisms for Object Recognition with Event-Based Cameras—0
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified