A robust approach for industrial small-object detection using an improved faster regional convolutional neural network

Faisal Saeed; Muhammad Jamal Ahmed; Malik Junaid Gul; Kim Jeong Hong; Anand Paul; Muthu Subash Kavitha

doi:10.1038/s41598-021-02805-y

A robust approach for industrial small-object detection using an improved faster regional convolutional neural network

Faisal Saeed
, Muhammad Jamal Ahmed
, Malik Junaid Gul
, Kim Jeong Hong
, Anand Paul^*
, Muthu Subash Kavitha

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

33 Citations (SciVal)

Original language	English
Article number	23390
Journal	Scientific Reports
Volume	11
Issue number	1
DOIs	https://doi.org/10.1038/s41598-021-02805-y
Publication status	Published (VoR) - Dec 2021

Funding

This work is supported by the National Research Foundation of Korea (NRF) grants funded by the Korean government. Grant number: 2020R1A2C1012196.

Funders	Funder number
National Research Foundation of Korea	2020R1A2C1012196

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10.1038/s41598-021-02805-y

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author = "Faisal Saeed and Ahmed, \{Muhammad Jamal\} and Gul, \{Malik Junaid\} and Hong, \{Kim Jeong\} and Anand Paul and Kavitha, \{Muthu Subash\}",

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AU - Saeed, Faisal

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AU - Paul, Anand

AU - Kavitha, Muthu Subash

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A robust approach for industrial small-object detection using an improved faster regional convolutional neural network

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