Knowledge graph‐guided object detection with semantic distance network
Abstract In this research study, the inadequacies of current object detection techniques are analyzed. These techniques solely recognize individual objects without considering their interrelationships. To address this issue, a novel solution called the knowledge graph‐guided semantic distance networ...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-12-01
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| Series: | Electronics Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ell2.13051 |
| _version_ | 1797362159984836608 |
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| author | Ezekia Gilliard Jinshuo Liu Ahmed Abubakar Aliyu |
| author_facet | Ezekia Gilliard Jinshuo Liu Ahmed Abubakar Aliyu |
| author_sort | Ezekia Gilliard |
| collection | DOAJ |
| description | Abstract In this research study, the inadequacies of current object detection techniques are analyzed. These techniques solely recognize individual objects without considering their interrelationships. To address this issue, a novel solution called the knowledge graph‐guided semantic distance network (KGSDN) approach is proposed. By utilizing a knowledge graph, KGSDN provides semantic contextual cues, leading to enhanced object detection accuracy. The KGSDN framework seamlessly integrates the knowledge graph and object detection network and employs an attention‐based network to evaluate the semantic distance between objects. As a result, the conditional object probability of every bounding box is updated, and the joint probability of all objects in the image is determined. The empirical findings indicate that this approach significantly improves the performance of deep learning‐based object detection methods. |
| first_indexed | 2024-03-08T16:04:22Z |
| format | Article |
| id | doaj.art-59cb463313be47798005fd6b09f1e80b |
| institution | Directory Open Access Journal |
| issn | 0013-5194 1350-911X |
| language | English |
| last_indexed | 2024-03-08T16:04:22Z |
| publishDate | 2023-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Electronics Letters |
| spelling | doaj.art-59cb463313be47798005fd6b09f1e80b2024-01-08T08:30:54ZengWileyElectronics Letters0013-51941350-911X2023-12-015924n/an/a10.1049/ell2.13051Knowledge graph‐guided object detection with semantic distance networkEzekia Gilliard0Jinshuo Liu1Ahmed Abubakar Aliyu2School of Cyber Science and Engineering Wuhan University Wuhan ChinaSchool of Cyber Science and Engineering Wuhan University Wuhan ChinaSchool of Cyber Science and Engineering Wuhan University Wuhan ChinaAbstract In this research study, the inadequacies of current object detection techniques are analyzed. These techniques solely recognize individual objects without considering their interrelationships. To address this issue, a novel solution called the knowledge graph‐guided semantic distance network (KGSDN) approach is proposed. By utilizing a knowledge graph, KGSDN provides semantic contextual cues, leading to enhanced object detection accuracy. The KGSDN framework seamlessly integrates the knowledge graph and object detection network and employs an attention‐based network to evaluate the semantic distance between objects. As a result, the conditional object probability of every bounding box is updated, and the joint probability of all objects in the image is determined. The empirical findings indicate that this approach significantly improves the performance of deep learning‐based object detection methods.https://doi.org/10.1049/ell2.13051computer visionknowledge graphobject detection |
| spellingShingle | Ezekia Gilliard Jinshuo Liu Ahmed Abubakar Aliyu Knowledge graph‐guided object detection with semantic distance network Electronics Letters computer vision knowledge graph object detection |
| title | Knowledge graph‐guided object detection with semantic distance network |
| title_full | Knowledge graph‐guided object detection with semantic distance network |
| title_fullStr | Knowledge graph‐guided object detection with semantic distance network |
| title_full_unstemmed | Knowledge graph‐guided object detection with semantic distance network |
| title_short | Knowledge graph‐guided object detection with semantic distance network |
| title_sort | knowledge graph guided object detection with semantic distance network |
| topic | computer vision knowledge graph object detection |
| url | https://doi.org/10.1049/ell2.13051 |
| work_keys_str_mv | AT ezekiagilliard knowledgegraphguidedobjectdetectionwithsemanticdistancenetwork AT jinshuoliu knowledgegraphguidedobjectdetectionwithsemanticdistancenetwork AT ahmedabubakaraliyu knowledgegraphguidedobjectdetectionwithsemanticdistancenetwork |