A Sampling based Generic Methodology for Object Detection using Feature Scale Learning

A Sampling based Generic Methodology for Object Detection using Feature Scale Learning

Registration ID: IJNRD_220015

Published ID: IJNRD2405007

DOI: Click Here to Get

UPPU PALAKONDA RAJU , Vadlamudi R V S Ritwick , B Karthik Kumar Reddy , M Chitra

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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"A Sampling based Generic Methodology for Object Detection using Feature Scale Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.a71-a76, May-2024, Available :https://ijnrd.org/papers/IJNRD2405007.pdf

Volume 9 Issue 5, May-2024

Pages : a71-a76

Paper Reg. ID: IJNRD_220015

Published Paper Id: IJNRD2405007

Downloads: 000121221

Research Area: Computer Science & Technology 

Country: Rajampet, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405007.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405007

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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