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 91–100 of 145 papers

TitleStatusHype
Robust event-stream pattern tracking based on correlative filter—0
Secrets of Edge-Informed Contrast Maximization for Event-Based Vision—0
Spatiotemporal Feature Learning for Event-Based Vision—0
Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline—0
SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception—0
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified