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 111–120 of 145 papers

TitleStatusHype
How Asynchronous Events Encode Video—0
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision—0
Increasing the scalability of graph convolution for FPGA-implemented event-based vision—0
Maximizing Asynchronicity in Event-based Neural Networks—0
Learning to Detect Objects with a 1 Megapixel Event Camera—0
Low-Latency Scalable Streaming for Event-Based Vision—0
MEVDT: Multi-Modal Event-Based Vehicle Detection and Tracking Dataset—0
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras—0
Neutron-Induced, Single-Event Effects on Neuromorphic Event-based Vision Sensor: A First Step Towards Space Applications—0
Non-Invasive Qualitative Vibration Analysis using Event Camera—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified