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 131–140 of 145 papers

TitleStatusHype
CED: Color Event Camera Dataset—0
Event-based Vision: A Survey—0
Focus Is All You Need: Loss Functions For Event-based VisionCode0
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM—0
Spatiotemporal Feature Learning for Event-Based Vision—0
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion PerceptionCode0
Attention Mechanisms for Object Recognition with Event-Based Cameras—0
Real-time clustering and multi-target tracking using event-based sensors—0
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars—0
Robust event-stream pattern tracking based on correlative filter—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified