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
Unsupervised Spiking Instance Segmentation on Event Data using STDP—0
Optical Flow Estimation for Spiking CameraCode1
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based VisionCode0
Moving Object Detection for Event-based vision using Graph Spectral ClusteringCode1
Bridging the Gap between Events and Frames through Unsupervised Domain AdaptationCode1
Moving Object Detection for Event-based Vision using k-means ClusteringCode1
Event-driven Vision and Control for UAVs on a Neuromorphic Chip—0
Lifting Monocular Events to 3D Human PosesCode1
An error-propagation spiking neural network compatible with neuromorphic processors—0
AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified