CNN for Event-Based Sensors - Hallo friendsCAR ON REPIYU, In the article you read this time with the title CNN for Event-Based Sensors, We have prepared this article for you to read and retrieve information therein. Hopefully the contents of postings Article car review, Article mobile review, We write this you can understand. Alright, good read.

Title : CNN for Event-Based Sensors
link : CNN for Event-Based Sensors

CNN for Event-Based Sensors

University of Zurich-ETH publishes a video supplement to the paper "Event-based Asynchronous Sparse Convolutional Networks" by Nico Messikommer, Daniel Gehrig, Antonio Loquercio, and Davide Scaramuzza.

"Recently, pattern recognition algorithms, such as learning-based methods, have made significant progress with event cameras by converting events into synchronous dense, image-like representations and applying traditional machine learning methods developed for standard cameras. However, these approaches discard the spatial and temporal sparsity inherent in event data at the cost of higher computational complexity and latency. In this work, we present a general framework for converting models trained on synchronous image-like event representations into asynchronous models with identical output, thus directly leveraging the intrinsic asynchronous and sparse nature of the event data. We show both theoretically and experimentally that this drastically reduces the computational complexity and latency of high-capacity, synchronous neural networks without sacrificing accuracy.

In addition, our framework has several desirable characteristics: (i) it exploits spatio-temporal sparsity of events explicitly, (ii) it is agnostic to the event representation, network architecture, and task, and (iii) it does not require any train-time change, since it is compatible with the standard neural networks' training process.

We thoroughly validate the proposed framework on two computer vision tasks: object detection and object recognition. In these tasks, we reduce the computational complexity up to 20 times with respect to high-latency neural networks. At the same time, we outperform state-of-the-art asynchronous approaches up to 24% in prediction accuracy."

Thus Article CNN for Event-Based Sensors

That's an article CNN for Event-Based Sensors This time, hopefully can give benefits to all of you. well, see you in posting other articles.

You are now reading the article CNN for Event-Based Sensors with the link address https://caronrepiyu.blogspot.com/2020/03/cnn-for-event-based-sensors.html

Tweet

Subscribe to receive free email updates: