Method and terminal device for retargeting images
US-2015371367-A1 · Dec 24, 2015 · US
Computer-readable recording medium, abnormality detection method, and information processing device
US2025285408A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2025285408-A1 |
| Application number | US-202519043552-A |
| Country | US |
| Kind code | A1 |
| Filing date | Feb 3, 2025 |
| Priority date | Mar 6, 2024 |
| Publication date | Sep 11, 2025 |
| Grant date | — |
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Abstract
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A non-transitory computer-readable recording medium stores therein an abnormality detection program that causes a computer to execute a process including calculating a first value and a second value, based on a detection result of an object detected from an input scene to an object detection model and a saliency map for the input scene obtained by an XAI technique, the first value indicating a value of the saliency map for the entire input scene, the second value indicating a value of the saliency map in a region other than a region of the detected object in the input scene, and detecting an abnormality in the input scene based on the calculated first and second values.
First claim
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What is claimed is: 1 . A non-transitory computer-readable recording medium having stored therein an abnormality detection program that causes a computer to execute a process comprising: calculating a first value and a second value, based on a detection result of an object detected from an input scene to an object detection model and a saliency map for the input scene obtained by an XAI technique, the first value indicating a value of the saliency map for the entire input scene, the second value indicating a value of the saliency map in a region other than a region of the detected object in the input scene; and detecting an abnormality in the input scene based on the calculated first and second values. 2 . The non-transitory computer-readable recording medium according to claim 1 , wherein the calculating includes calculating a third value based on the first and second values, and the detecting includes detecting an abnormality in the input scene based on the third value. 3 . The non-transitory computer-readable recording medium according to claim 2 , wherein the third value is a deviation of the first and second values. 4 . The non-transitory computer-readable recording medium according to claim 1 , wherein the XAI technique is an activation-based or gradient-based saliency map output technique. 5 . The non-transitory computer-readable recording medium according to claim 1 , wherein the process further includes generating the saliency map for a layer to which non-maximum suppression (NMS) has been applied, in a one-stage type of the object detection model. 6 . The non-transitory computer-readable recording medium according to claim 1 , wherein the process further includes generating the saliency map for a final layer of a region proposal network (RPN) component in a two-stage type or multi-stage type of the object detection model. 7 . An abnormality detection method that causes a computer to execute a process comprising: calculating a first value and a second value, based on a detection result of an object detected from an input scene to an object detection model and a saliency map for the input scene obtained by an XAI technique, the first value indicating a value of the saliency map for the entire input scene, the second value indicating a value of the saliency map in a region other than a region of the detected object in the input scene; and detecting an abnormality in the input scene based on the calculated first and second values, by processing circuitry. 8 . An information processing device comprising: a processor configured to: calculate a first value and a second value, based on a detection result of an object detected from an input scene to an object detection model and a saliency map for the input scene obtained by an XAI technique, the first value indicating a value of the saliency map for the entire input scene, the second value indicating a value of the saliency map in a region other than a region of the detected object in the input scene; and detect an abnormality in the input scene based on the calculated first and second values.
Assignees
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Classifications
Target detection · CPC title
- G06V10/462Primary
Salient features, e.g. scale invariant feature transforms [SIFT] · CPC title
- G06V10/82Primary
using neural networks · CPC title
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- What does patent US2025285408A1 cover?
- A non-transitory computer-readable recording medium stores therein an abnormality detection program that causes a computer to execute a process including calculating a first value and a second value, based on a detection result of an object detected from an input scene to an object detection model and a saliency map for the input scene obtained by an XAI technique, the first value indicating a …
- Who is the assignee on this patent?
- Fujitsu Ltd, B G Negev Technologies And Applications Ltd At Ben Gurion Univ
- What technology area does this patent fall under?
- Primary CPC classification G06V10/462. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Sep 11 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).