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
Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline—0
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning—0
Fully neuromorphic vision and control for autonomous drone flight—0
Deep Learning for Event-based Vision: A Comprehensive Survey and BenchmarksCode1
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic DataCode0
Adaptive Global Decay Process for Event CamerasCode1
High-temporal-resolution event-based vehicle detection and tracking—0
Fast Event-based Optical Flow Estimation by Triplet Matching—0
Masked Event Modeling: Self-Supervised Pretraining for Event CamerasCode1
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization FrameworkCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified