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 81–90 of 145 papers

TitleStatusHype
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors—0
Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision—0
Efficient and Low-Footprint Object Classification using Spatial Contrast—0
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities—0
hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow—0
Tracking Particles Ejected From Active Asteroid Bennu With Event-Based Vision—0
High-temporal-resolution event-based vehicle detection and tracking—0
How Asynchronous Events Encode Video—0
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision—0
Increasing the scalability of graph convolution for FPGA-implemented event-based vision—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified