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 51–60 of 145 papers

TitleStatusHype
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation—0
Exploration of Reinforcement Learning for Event Camera using Car-like Robots—0
Coupled Video Frame Interpolation and Encoding with Hybrid Event Cameras for Low-Power High-Framerate Video—0
3D Human Scan With A Moving Event Camera—0
Event-based Vision: A Survey—0
Event-driven Vision and Control for UAVs on a Neuromorphic Chip—0
Event-Priori-Based Vision-Language Model for Efficient Visual Understanding—0
Deep Event Stereo Leveraged by Event-to-Image Translation—0
An error-propagation spiking neural network compatible with neuromorphic processors—0
Event-based Moving Object Detection and Tracking—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified