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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
Sensing Diversity and Sparsity Models for Event Generation and Video Reconstruction from EventsCode0
Event-Based Crossing Dataset (EBCD)Code0
Event-based Camera Pose Tracking using a Generative Event ModelCode0
Event Cameras, Contrast Maximization and Reward Functions: An AnalysisCode0
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural NetworksCode0
Focus Is All You Need: Loss Functions For Event-based VisionCode0
GERD: Geometric event response data generationCode0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
Ecsnet: Spatio-temporal feature learning for event cameraCode0
MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified