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 61–70 of 145 papers

TitleStatusHype
eCARLA-scenes: A synthetically generated dataset for event-based optical flow predictionCode0
Automotive Object Detection via Learning Sparse Events by Spiking NeuronsCode0
Density Invariant Contrast Maximization for Neuromorphic Earth ObservationsCode0
Focus Is All You Need: Loss Functions For Event-based VisionCode0
GERD: Geometric event response data generationCode0
GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing UnitsCode0
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision—0
EV-Flying: an Event-based Dataset for In-The-Wild Recognition of Flying Objects—0
EventVL: Understand Event Streams via Multimodal Large Language Model—0
Event Vision Sensor: A Review—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified