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 1–10 of 145 papers

TitleStatusHype
Event-Priori-Based Vision-Language Model for Efficient Visual Understanding—0
Egocentric Event-Based Vision for Ping Pong Ball Trajectory PredictionCode1
Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise InjectionCode0
EV-Flying: an Event-based Dataset for In-The-Wild Recognition of Flying Objects—0
V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel SimulationCode1
Dynamic Graph Induced Contour-aware Heat Conduction Network for Event-based Object DetectionCode2
eStonefish-scenes: A synthetically generated dataset for underwater event-based optical flow prediction tasks—0
Maximizing Asynchronicity in Event-based Neural Networks—0
MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object DetectionCode0
RGB-Event Fusion with Self-Attention for Collision PredictionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified