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 91–100 of 145 papers

TitleStatusHype
Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision—0
Training Deep Spiking Neural Networks using Backpropagation—0
Learning to Detect Objects with a 1 Megapixel Event Camera—0
Maximizing Asynchronicity in Event-based Neural Networks—0
Deep Event Stereo Leveraged by Event-to-Image Translation—0
Low-Latency Scalable Streaming for Event-Based Vision—0
DART: Distribution Aware Retinal Transform for Event-based Cameras—0
MEVDT: Multi-Modal Event-Based Vehicle Detection and Tracking Dataset—0
Coupled Video Frame Interpolation and Encoding with Hybrid Event Cameras for Low-Power High-Framerate Video—0
CED: Color Event Camera Dataset—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified