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 51–100 of 145 papers

TitleStatusHype
Asynchronous Optimisation for Event-based Visual Odometry—0
Attention Mechanisms for Object Recognition with Event-Based Cameras—0
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network—0
BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events—0
CED: Color Event Camera Dataset—0
Coupled Video Frame Interpolation and Encoding with Hybrid Event Cameras for Low-Power High-Framerate Video—0
DART: Distribution Aware Retinal Transform for Event-based Cameras—0
Deep Event Stereo Leveraged by Event-to-Image Translation—0
Efficient and Low-Footprint Object Classification using Spatial Contrast—0
Enhanced Frame and Event-Based Simulator and Event-Based Video Interpolation Network—0
eStonefish-scenes: A synthetically generated dataset for underwater event-based optical flow prediction tasks—0
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms—0
Event-based Monocular Dense Depth Estimation with Recurrent Transformers—0
Event-based Moving Object Detection and Tracking—0
Event-based Vision: A Survey—0
Event-based vision for egomotion estimation using precise event timing—0
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars—0
Event-based vision on FPGAs -- a survey—0
Event-driven Vision and Control for UAVs on a Neuromorphic Chip—0
Event-Priori-Based Vision-Language Model for Efficient Visual Understanding—0
Event Vision Sensor: A Review—0
EventVL: Understand Event Streams via Multimodal Large Language Model—0
EV-Flying: an Event-based Dataset for In-The-Wild Recognition of Flying Objects—0
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision—0
Ev-NeRF: Event Based Neural Radiance Field—0
EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling—0
Exploration of Reinforcement Learning for Event Camera using Car-like Robots—0
Fast Event-based Optical Flow Estimation by Triplet Matching—0
Flow-Based Visual Stream Compression for Event Cameras—0
FPGA Implementation of An Event-driven Saliency-based Selective Attention Model—0
Fully neuromorphic vision and control for autonomous drone flight—0
Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision—0
Optimal OnTheFly Feedback Control of Event Sensors—0
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision—0
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM—0
Lossy Event Compression based on Image-derived Quad Trees and Poisson Disk Sampling—0
Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception—0
Real-time clustering and multi-target tracking using event-based sensors—0
Re-Interpreting the Step-Response Probability Curve to Extract Fundamental Physical Parameters of Event-based Vision Sensors—0
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation—0
Robust event-stream pattern tracking based on correlative filter—0
Secrets of Edge-Informed Contrast Maximization for Event-Based Vision—0
Spatiotemporal Feature Learning for Event-Based Vision—0
Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline—0
SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception—0
Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end—0
STEMS: Spatial-Temporal Mapping Tool For Spiking Neural Networks—0
STREAM: A Universal State-Space Model for Sparse Geometric Data—0
Super-resolution of spatiotemporal event-stream image captured by the asynchronous temporal contrast vision sensor—0
Technical report of a DMD-based Characterization Method for Vision Sensors—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified