18400522. FEATURE MAP PROCESSING METHOD AND RELATED DEVICE simplified abstract (Huawei Technologies Co., Ltd.)
Contents
- 1 FEATURE MAP PROCESSING METHOD AND RELATED DEVICE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 FEATURE MAP PROCESSING METHOD AND RELATED DEVICE - 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
FEATURE MAP PROCESSING METHOD AND RELATED DEVICE
Organization Name
Inventor(s)
FEATURE MAP PROCESSING METHOD AND RELATED DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18400522 titled 'FEATURE MAP PROCESSING METHOD AND RELATED DEVICE
Simplified Explanation
The patent application describes a method and device for processing feature maps using a neural network model with input adaptation branches and a post-processing part.
- Neural network model with input adaptation branches and post-processing part
- Each input adaptation branch can downsample feature maps at different ratios
- Output of each input adaptation branch is input for post-processing part
Potential Applications
This technology could be applied in various fields such as image recognition, object detection, and natural language processing where feature map processing is required.
Problems Solved
1. Efficient processing of feature maps at different resolutions 2. Improved accuracy in neural network models by adapting input features
Benefits
1. Enhanced performance in tasks requiring feature map processing 2. Flexibility in downsampling feature maps at different ratios 3. Potential for improved accuracy in neural network models
Potential Commercial Applications
"Feature Map Processing Method and Device" could find applications in industries such as autonomous vehicles, healthcare imaging, and video surveillance for efficient and accurate processing of feature maps.
Possible Prior Art
There may be prior art related to neural network models with input adaptation branches and post-processing parts for feature map processing, but specific examples are not provided in the abstract.
Unanswered Questions
How does this technology compare to existing methods for feature map processing?
This article does not provide a direct comparison with existing methods for feature map processing. It would be beneficial to understand the advantages and limitations of this technology in relation to traditional approaches.
What are the computational requirements for implementing this feature map processing method?
The abstract does not mention the computational resources needed to implement this method. Understanding the computational complexity and resource requirements would be essential for practical applications of this technology.
Original Abstract Submitted
This application relates to the field of artificial intelligence technologies, and provides a feature map processing method and a related device. The method is implemented by invoking a neural network model that includes a plurality of input adaptation branches and a post-processing part. An output of each of the plurality of input adaptation branches is an input of the post-processing part, and each of the plurality of input adaptation branches can downsample a feature map at a different ratio.
