17722858. METHOD AND APPARATUS WITH DYNAMIC CONVOLUTION simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
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Contents
METHOD AND APPARATUS WITH DYNAMIC CONVOLUTION
Organization Name
Inventor(s)
Seungin Park of Yongin-si (KR)
METHOD AND APPARATUS WITH DYNAMIC CONVOLUTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17722858 titled 'METHOD AND APPARATUS WITH DYNAMIC CONVOLUTION
Simplified Explanation
The abstract of the patent application describes a method for dynamic convolution. Here is a simplified explanation:
- The method involves determining adaptation weights for weight matrices in a category set.
- These adaptation weights are represented by a plurality of predetermined discrete values.
- A unified kernel is determined based on the weight matrices and the corresponding adaptation weights.
- Finally, a convolution operation is performed using the unified kernel.
Potential Applications
- Image processing and computer vision algorithms.
- Deep learning and neural network models.
- Signal processing and audio analysis.
- Video compression and analysis.
Problems Solved
- Traditional convolution methods may not adapt well to different weight matrices.
- Limited flexibility in adjusting convolution kernels for specific tasks.
- Difficulty in optimizing convolution operations for different applications.
Benefits
- Improved adaptability and flexibility in convolution operations.
- Enhanced performance and accuracy in various applications.
- Simplified implementation of convolution algorithms.
- Potential for more efficient and optimized convolution operations.
Original Abstract Submitted
A method with dynamic convolution includes: determining kernel adaptation weights corresponding to weight matrices in a category set represented by a plurality of predetermined discrete values; determining a unified kernel based on the weight matrices and the kernel adaptation weights corresponding to the weight matrices; and performing a convolution operation based on the unified kernel.
