Paper Title
A Sampling based Generic Methodology for Object Detection using Feature Scale Learning
Article Identifiers
Authors
UPPU PALAKONDA RAJU , Vadlamudi R V S Ritwick , B Karthik Kumar Reddy , M Chitra
Keywords
Abstract
Due to their limited pixel count, small objects present significant challenges in feature extraction, which is essential for accurate detection. They are less prevalent in datasets and often overwhelmed by a multitude of background instances, potentially biasing the training process. Additionally, as the stride of feature maps increases in deeper network layers, the spatial resolution decreases, causing small objects to be missed and critical details to be lost. Moreover, small objects often depend on contextual clues for accurate identification, which can be difficult to effectively capture and utilize
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How To Cite (APA)
UPPU PALAKONDA RAJU, Vadlamudi R V S Ritwick, B Karthik Kumar Reddy, & M Chitra (May-2024). A Sampling based Generic Methodology for Object Detection using Feature Scale Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), a71-a76. https://ijnrd.org/papers/IJNRD2405007.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : a71-a76
Other Publication Details
Paper Reg. ID: IJNRD_220015
Published Paper Id: IJNRD2405007
Downloads: 000121999
Research Area: Computer Science & TechnologyÂ
Country: Rajampet, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405007.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405007
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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