Summary of A New Lightweight Hybrid Graph Convolutional Neural Network — Cnn Scheme For Scene Classification Using Object Detection Inference, by Ayman Beghdadi et al.
A New Lightweight Hybrid Graph Convolutional Neural Network – CNN Scheme for Scene Classification using Object Detection Inference
by Ayman Beghdadi, Azeddine Beghdadi, Mohib Ullah, Faouzi Alaya Cheikh, Malik Mallem
First submitted to arxiv on: 19 Jul 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research proposes a novel approach to scene understanding in computer vision, specifically for indoor/outdoor scene classification. The Lightweight Hybrid Graph Convolutional Neural Network (LH-GCNN)-CNN framework is designed as an add-on to object detection models, leveraging the output of the CNN model to predict the observed scene type by generating a coherent GCNN representing the semantic and geometric content of the scene. The proposed method achieves over 90% efficiency in scene classification on a COCO-derived dataset containing a large number of different scenes, while requiring fewer parameters than traditional CNN methods. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps solve a problem in computer vision called scene understanding. It’s like trying to figure out what’s happening in a movie by looking at individual frames. The researchers developed a new way to do this using a type of artificial intelligence called graph convolutional neural networks (GCNNs). They combined GCNNs with another type of AI called CNNs and tested it on lots of different scenes. Their approach worked really well, correctly identifying the scene in over 90% of cases. |
Keywords
» Artificial intelligence » Classification » Cnn » Neural network » Object detection » Scene understanding
