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 61–70 of 145 papers

TitleStatusHype
An error-propagation spiking neural network compatible with neuromorphic processors—0
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision—0
Event-based Moving Object Detection and Tracking—0
Event-based Monocular Dense Depth Estimation with Recurrent Transformers—0
CED: Color Event Camera Dataset—0
Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision—0
hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow—0
How Asynchronous Events Encode Video—0
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms—0
Maximizing Asynchronicity in Event-based Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified