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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 91–100 of 145 papers

TitleStatusHype
On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and LandingCode0
Event-based Vision for Early Prediction of Manipulation ActionsCode0
Automotive Object Detection via Learning Sparse Events by Spiking NeuronsCode0
Hierarchical Neural Memory Network for Low Latency Event ProcessingCode0
Sensing Diversity and Sparsity Models for Event Generation and Video Reconstruction from EventsCode0
Density Invariant Contrast Maximization for Neuromorphic Earth ObservationsCode0
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network—0
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras—0
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
Show:102550
← PrevPage 10 of 15Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified