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 71–80 of 145 papers

TitleStatusHype
MEVDT: Multi-Modal Event-Based Vehicle Detection and Tracking Dataset—0
A Framework for Pupil Tracking with Event Cameras—0
Event-based vision on FPGAs -- a survey—0
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based VisionCode0
Covariant spatio-temporal receptive fields for spiking neural networksCode0
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision—0
3D Human Scan With A Moving Event Camera—0
Re-Interpreting the Step-Response Probability Curve to Extract Fundamental Physical Parameters of Event-based Vision Sensors—0
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation—0
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified