Computer Science
6 years ago

New AI framework revolutionizes visual behavior recognition with unprecedented accuracy!

International Journal of Computer Applications
An Efficient Hybrid Architecture for Visual Behavior Recognition using Convolutional Neural Network
Md Javedul, Mohammad Faizal Ahmad Fauzi, Dip Nandi, M. D. Muhaimin Rahman

Paper Summary

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The goal of the research was to understand visual behavior in images. The researchers used a combination of Convolutional Neural Network and Long Short Term Memory to detect objects and relationships in scenes. They created a framework that achieved better efficiency in recognizing visual relationships compared to previous methods.