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 111–120 of 145 papers

TitleStatusHype
How Asynchronous Events Encode Video—0
Event TransformerCode0
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation—0
Asynchronous Optimisation for Event-based Visual Odometry—0
Enhanced Frame and Event-Based Simulator and Event-Based Video Interpolation Network—0
hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow—0
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision—0
Unsupervised Spiking Instance Segmentation on Event Data using STDP—0
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based VisionCode0
Event-driven Vision and Control for UAVs on a Neuromorphic Chip—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified