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 51–60 of 145 papers

TitleStatusHype
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
Detecting Every Object from EventsCode1
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms—0
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors—0
Flow-Based Visual Stream Compression for Event Cameras—0
State Space Models for Event CamerasCode3
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision—0
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation—0
EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified