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 1–25 of 145 papers

TitleStatusHype
EvTexture: Event-driven Texture Enhancement for Video Super-ResolutionCode5
Recent Event Camera Innovations: A SurveyCode3
State Space Models for Event CamerasCode3
Dynamic Graph Induced Contour-aware Heat Conduction Network for Event-based Object DetectionCode2
Recurrent Vision Transformers for Object Detection with Event CamerasCode2
GET: Group Event Transformer for Event-Based VisionCode1
Fusing Event-based and RGB camera for Robust Object Detection in Adverse ConditionsCode1
GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian SplattingCode1
A Large Scale Event-based Detection Dataset for AutomotiveCode1
Adaptive Global Decay Process for Event CamerasCode1
Event-based Background-Oriented SchlierenCode1
E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action RecognitionCode1
Entropy Minimisation Framework for Event-based Vision Model EstimationCode1
Egocentric Event-Based Vision for Ping Pong Ball Trajectory PredictionCode1
Ev-TTA: Test-Time Adaptation for Event-Based Object RecognitionCode1
EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video ReconstructionCode1
Event Collapse in Contrast Maximization FrameworksCode1
EvRepSL: Event-Stream Representation via Self-Supervised Learning for Event-Based VisionCode1
Deep Learning for Event-based Vision: A Comprehensive Survey and BenchmarksCode1
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
Bridging the Gap between Events and Frames through Unsupervised Domain AdaptationCode1
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural NetworksCode1
E^2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action RecognitionCode1
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization FrameworkCode1
Detecting Every Object from EventsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified