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 121–130 of 145 papers

TitleStatusHype
GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing UnitsCode0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
Ecsnet: Spatio-temporal feature learning for event cameraCode0
Hierarchical Neural Memory Network for Low Latency Event ProcessingCode0
Sensing Diversity and Sparsity Models for Event Generation and Video Reconstruction from EventsCode0
Automotive Object Detection via Learning Sparse Events by Spiking NeuronsCode0
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic DataCode0
MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object DetectionCode0
eCARLA-scenes: A synthetically generated dataset for event-based optical flow predictionCode0
Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise InjectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified