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 21–30 of 145 papers

TitleStatusHype
STEMS: Spatial-Temporal Mapping Tool For Spiking Neural Networks—0
EventVL: Understand Event Streams via Multimodal Large Language Model—0
Event-based vision for egomotion estimation using precise event timing—0
Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision—0
eCARLA-scenes: A synthetically generated dataset for event-based optical flow predictionCode0
Low-Latency Scalable Streaming for Event-Based Vision—0
EvRepSL: Event-Stream Representation via Self-Supervised Learning for Event-Based VisionCode1
GERD: Geometric event response data generationCode0
EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based VisionCode1
STREAM: A Universal State-Space Model for Sparse Geometric Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified