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 81–90 of 145 papers

TitleStatusHype
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors—0
Flow-Based Visual Stream Compression for Event Cameras—0
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision—0
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation—0
EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling—0
Asynchronous Bioplausible Neuron for SNN for Event Vision—0
Efficient and Low-Footprint Object Classification using Spatial Contrast—0
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end—0
CrossZoom: Simultaneously Motion Deblurring and Event Super-ResolvingCode0
Tracking Particles Ejected From Active Asteroid Bennu With Event-Based Vision—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified