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 101–110 of 145 papers

TitleStatusHype
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation—0
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey—0
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors—0
Tracking Particles Ejected From Active Asteroid Bennu With Event-Based Vision—0
Training Deep Spiking Neural Networks using Backpropagation—0
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning—0
Unsupervised Spiking Instance Segmentation on Event Data using STDP—0
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities—0
hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow—0
High-temporal-resolution event-based vehicle detection and tracking—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified