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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 126–145 of 145 papers

TitleStatusHype
Automotive Object Detection via Learning Sparse Events by Spiking NeuronsCode0
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic DataCode0
MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object DetectionCode0
eCARLA-scenes: A synthetically generated dataset for event-based optical flow predictionCode0
Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise InjectionCode0
Density Invariant Contrast Maximization for Neuromorphic Earth ObservationsCode0
GERD: Geometric event response data generationCode0
Focus Is All You Need: Loss Functions For Event-based VisionCode0
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based VisionCode0
Event TransformerCode0
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion PerceptionCode0
Event Cameras, Contrast Maximization and Reward Functions: An AnalysisCode0
Event-based Vision for Early Prediction of Manipulation ActionsCode0
CrossZoom: Simultaneously Motion Deblurring and Event Super-ResolvingCode0
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based VisionCode0
Covariant spatio-temporal receptive fields for spiking neural networksCode0
Event-Based Crossing Dataset (EBCD)Code0
Event-based Camera Pose Tracking using a Generative Event ModelCode0
On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and LandingCode0
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified