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
Fully neuromorphic vision and control for autonomous drone flight—0
Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision—0
Optimal OnTheFly Feedback Control of Event Sensors—0
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision—0
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM—0
Lossy Event Compression based on Image-derived Quad Trees and Poisson Disk Sampling—0
Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception—0
Real-time clustering and multi-target tracking using event-based sensors—0
Re-Interpreting the Step-Response Probability Curve to Extract Fundamental Physical Parameters of Event-based Vision Sensors—0
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified