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
EvRepSL: Event-Stream Representation via Self-Supervised Learning for Event-Based VisionCode1
EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based VisionCode1
GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian SplattingCode1
On the Benefits of Visual Stabilization for Frame- and Event-based PerceptionCode1
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic PerceptionCode1
Detecting Every Object from EventsCode1
LEOD: Label-Efficient Object Detection for Event CamerasCode1
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural NetworksCode1
Event-based Background-Oriented SchlierenCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43Unverified