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

Showing 1120 of 145 papers

TitleStatusHype
EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video ReconstructionCode1
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
Detecting Every Object from EventsCode1
Entropy Minimisation Framework for Event-based Vision Model EstimationCode1
Bridging the Gap between Events and Frames through Unsupervised Domain AdaptationCode1
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization FrameworkCode1
Deep Learning for Event-based Vision: A Comprehensive Survey and BenchmarksCode1
Egocentric Event-Based Vision for Ping Pong Ball Trajectory PredictionCode1
Adaptive Global Decay Process for Event CamerasCode1
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural NetworksCode1
Show:102550
← PrevPage 2 of 15Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43Unverified