INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Deep learning has revolutionized the field of computer vision by achieving remarkable results in object detection and segmentation tasks. However, bridging the gap between deep learning models and domain-specific knowledge remains a challenge. In this study, we explore the integration of deep learning techniques with domain knowledge for more effective object detection and segmentation in videos. We propose a novel framework that combines the power of deep neural networks with domain-specific information to enhance the accuracy, interpretability, and generalization of object detection and segmentation models. Through experiments and case studies, we demonstrate the potential of this integrated approach in various application domains, such as autonomous driving, medical imaging, and surveillance. Our findings highlight the synergy between deep learning and domain knowledge, paving the way for more robust and context-aware video analysis systems.
Keywords:
context-aware, deep neural networks, object detection
Cite Article:
"Deep Learning For Object Detection And Segmentation In Videos: Toward An Integration With Domain Knowledge", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.a287-a299, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311032.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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