Invention Grant
- Patent Title: Method for generating detailed visualization of machine learning model behavior
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Application No.: US17302592Application Date: 2021-05-07
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Publication No.: US11688112B2Publication Date: 2023-06-27
- Inventor: Peter Doliwa
- Applicant: NXP B.V.
- Applicant Address: NL Eindhoven
- Assignee: NXP B.V.
- Current Assignee: NXP B.V.
- Current Assignee Address: NL Eindhoven
- Agent Daniel D. Hill
- Main IPC: G06T11/20
- IPC: G06T11/20 ; G06T3/40 ; G06N5/04 ; G06N20/00

Abstract:
A method is provided for generating a visualization for explaining a behavior of a machine learning (ML) model, the method includes inputting an image into a machine learning (ML) model for an inference operation. A first heatmap is generated for the image using a first visualization method. An area of highest attention is selected on the first heatmap based a predetermined threshold. The selected area is cropped from the image. The cropped selected area is upscaled. A second heatmap is generated for the cropped and upscaled selected area of the image. A final visualization is presented for analysis. In another embodiment, a computer program comprising instructions for executing the method is provided.
Public/Granted literature
- US20220358695A1 METHOD FOR GENERATING DETAILED VISUALIZATION OF MACHINE LEARNING MODEL BEHAVIOR Public/Granted day:2022-11-10
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