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 41–50 of 145 papers

TitleStatusHype
Entropy Minimisation Framework for Event-based Vision Model EstimationCode1
Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise InjectionCode0
Hierarchical Neural Memory Network for Low Latency Event ProcessingCode0
CrossZoom: Simultaneously Motion Deblurring and Event Super-ResolvingCode0
Covariant spatio-temporal receptive fields for spiking neural networksCode0
GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing UnitsCode0
Event-based Vision: A SurveyCode0
GERD: Geometric event response data generationCode0
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based VisionCode0
Event-Based Crossing Dataset (EBCD)Code0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified