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
STEMS: Spatial-Temporal Mapping Tool For Spiking Neural Networks—0
STREAM: A Universal State-Space Model for Sparse Geometric Data—0
Super-resolution of spatiotemporal event-stream image captured by the asynchronous temporal contrast vision sensor—0
Technical report of a DMD-based Characterization Method for Vision Sensors—0
Event-based vision on FPGAs -- 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
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation—0
Event Vision Sensor: A Review—0
EventVL: Understand Event Streams via Multimodal Large Language Model—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified