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 110 of 145 papers

TitleStatusHype
EvTexture: Event-driven Texture Enhancement for Video Super-ResolutionCode5
State Space Models for Event CamerasCode3
Recent Event Camera Innovations: A SurveyCode3
Dynamic Graph Induced Contour-aware Heat Conduction Network for Event-based Object DetectionCode2
Recurrent Vision Transformers for Object Detection with Event CamerasCode2
Detecting Every Object from EventsCode1
Bridging the Gap between Events and Frames through Unsupervised Domain AdaptationCode1
Adaptive Global Decay Process for Event CamerasCode1
Deep Learning for Event-based Vision: A Comprehensive Survey and BenchmarksCode1
A Large Scale Event-based Detection Dataset for AutomotiveCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43Unverified