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
Event Vision Sensor: A Review—0
EventVL: Understand Event Streams via Multimodal Large Language Model—0
EV-Flying: an Event-based Dataset for In-The-Wild Recognition of Flying Objects—0
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision—0
Ev-NeRF: Event Based Neural Radiance Field—0
EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling—0
Exploration of Reinforcement Learning for Event Camera using Car-like Robots—0
Fast Event-based Optical Flow Estimation by Triplet Matching—0
Flow-Based Visual Stream Compression for Event Cameras—0
FPGA Implementation of An Event-driven Saliency-based Selective Attention Model—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified