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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 101–110 of 145 papers

TitleStatusHype
Fully neuromorphic vision and control for autonomous drone flight—0
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic DataCode0
High-temporal-resolution event-based vehicle detection and tracking—0
Fast Event-based Optical Flow Estimation by Triplet Matching—0
Event-based Monocular Dense Depth Estimation with Recurrent Transformers—0
FPGA Implementation of An Event-driven Saliency-based Selective Attention Model—0
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities—0
ASAP: Adaptive Scheme for Asynchronous Processing of Event-based Vision Algorithms—0
Ecsnet: Spatio-temporal feature learning for event cameraCode0
Ev-NeRF: Event Based Neural Radiance Field—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified