18030900. PROCESSING METHOD AND PROCESSING DEVICE USING SAME simplified abstract (Panasonic Intellectual Property Management Co., Ltd.)
Contents
- 1 PROCESSING METHOD AND PROCESSING DEVICE USING SAME
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PROCESSING METHOD AND PROCESSING DEVICE USING SAME - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
PROCESSING METHOD AND PROCESSING DEVICE USING SAME
Organization Name
Panasonic Intellectual Property Management Co., Ltd.
Inventor(s)
PROCESSING METHOD AND PROCESSING DEVICE USING SAME - A simplified explanation of the abstract
This abstract first appeared for US patent application 18030900 titled 'PROCESSING METHOD AND PROCESSING DEVICE USING SAME
Simplified Explanation
The abstract describes a patent application for a system that processes images using neural networks and combines the results to generate a final feature map.
- First processor executes processing of a first neural network on a target image and generates a first feature map.
- Enlarger enlarges the first feature map generated in the first processor.
- Second processor executes processing of a second neural network on the target image and generates a second feature map.
- Combiner combines the first feature map enlarged by the enlarger and the second feature map generated in the second processor.
Potential Applications
This technology could be applied in image processing, object recognition, and computer vision systems.
Problems Solved
This technology solves the problem of efficiently processing images using multiple neural networks and combining the results effectively.
Benefits
The benefits of this technology include improved accuracy in image processing tasks, enhanced object recognition capabilities, and overall better performance in computer vision applications.
Potential Commercial Applications
Potential commercial applications of this technology include autonomous vehicles, surveillance systems, medical imaging, and quality control in manufacturing processes.
Possible Prior Art
One possible prior art for this technology could be systems that use multiple neural networks for image processing tasks, but may not specifically focus on combining the results in the same manner as described in this patent application.
Unanswered Questions
How does this technology compare to existing image processing systems?
This article does not provide a direct comparison to existing image processing systems in terms of performance, accuracy, or efficiency.
What are the limitations of this technology in real-world applications?
The article does not address any potential limitations or challenges that may arise when implementing this technology in practical scenarios.
Original Abstract Submitted
A first processor executes processing of a first neural network on a target image to be processed and generates a first feature map having a size (1/m)×(1/n) times as large as the target image . An enlarger enlarges the first feature map generated in the first processor by n times. A second processor executes processing of a second neural network on the target image and generates a second feature map having a size (1/m) times as large as the target image . The combiner combines the first feature map enlarged by n times in the enlarger and the second feature map generated in the second processor
