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
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
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network—0
FPGA Implementation of An Event-driven Saliency-based Selective Attention Model—0
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms—0
Fully neuromorphic vision and control for autonomous drone flight—0
eStonefish-scenes: A synthetically generated dataset for underwater event-based optical flow prediction tasks—0
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey—0
Enhanced Frame and Event-Based Simulator and Event-Based Video Interpolation Network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified