Small object detection: Difference between revisions

Revision as of 05:46, 22 July 2023

Revision as of 12:27, 22 July 2023

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== Other applications ==

* Crowd counting<ref>{{Cite book |last1=Rajendran |first1=Logesh |last2=Shyam Shankaran |first2=R |title=2021 IEEE International Conference on Big Data and Smart Computing (Big ''Comp''BigComp) |chapter=Bigdata Enabled Realtime Crowd Surveillance Using Artificial Intelligence and Deep Learning |chapter-url=https://ieeexplore.ieee.org/document/9373133 |year=2021 |___location=Jeju Island, Korea (South) |publisher=IEEE |pages=129–132 |doi=10.1109/BigComp51126.2021.00032 |isbn=978-1-7281-8924-6|s2cid=232236614 }}</ref><ref>{{Cite book |last1=Sivachandiran |first1=S. |last2=Mohan |first2=K. Jagan |last3=Nazer |first3=G. Mohammed |title=2022 6th International Conference on Computing Methodologies and Communication (ICCMC) |chapter=Deep Transfer Learning Enabled High-Density Crowd Detection and Classification using Aerial Images |date=2022-03-29 |chapter-url=https://ieeexplore.ieee.org/document/9753982 |___location=Erode, India |publisher=IEEE |pages=1313–1317 |doi=10.1109/ICCMC53470.2022.9753982 |isbn=978-1-6654-1028-1|s2cid=248131806 }}</ref><ref>{{Cite book |last1=Santhini |first1=C. |last2=Gomathi |first2=V. |title=2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) |chapter=Crowd Scene Analysis Using Deep Learning Network |chapter-url=https://ieeexplore.ieee.org/document/8550851 |year=2018 |pages=1–5 |doi=10.1109/ICCTCT.2018.8550851|isbn=978-1-5386-3702-9 |s2cid=54438440 }}</ref><ref>{{Cite book |last1=Sharath |first1=S.V. |last2=Biradar |first2=Vidyadevi |last3=Prajwal |first3=M.S. |last4=Ashwini |first4=B. |title=2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) |chapter=Crowd Counting in High Dense Images using Deep Convolutional Neural Network |date=2021-11-19 |chapter-url=https://ieeexplore.ieee.org/document/9663716 |___location=Nitte, India |publisher=IEEE |pages=30–34 |doi=10.1109/DISCOVER52564.2021.9663716 |isbn=978-1-6654-1244-5|s2cid=245707782 }}</ref>

* Vehicle re-identification<ref>{{Cite journal |last1=Wang |first1=Hongbo |last2=Hou |first2=Jiaying |last3=Chen |first3=Na |date=2019 |title=A Survey of Vehicle Re-Identification Based on Deep Learning |url=https://ieeexplore.ieee.org/document/8915694 |journal=IEEE Access |volume=7 |pages=172443–172469 |doi=10.1109/ACCESS.2019.2956172 |s2cid=209319743 |issn=2169-3536}}</ref>

* Animal detection<ref>{{Cite book |last1=Santhanam |first1=Sanjay |last2=B |first2=Sudhir Sidhaarthan |last3=Panigrahi |first3=Sai Sudha |last4=Kashyap |first4=Suryakant Kumar |last5=Duriseti |first5=Bhargav Krishna |title=2021 International Conference on Computational Intelligence and Computing Applications (ICCICA) |chapter=Animal Detection for Road safety using Deep Learning |date=2021-11-26 |chapter-url=https://ieeexplore.ieee.org/document/9697287 |___location=Nagpur, India |publisher=IEEE |pages=1–5 |doi=10.1109/ICCICA52458.2021.9697287 |isbn=978-1-6654-2040-2|s2cid=246663727 }}</ref><ref>{{Cite book |last1=Li |first1=Nopparut |last2=Kusakunniran |first2=Worapan |last3=Hotta |first3=Seiji |title=2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) |chapter=Detection of Animal Behind Cages Using Convolutional Neural Network |chapter-url=https://ieeexplore.ieee.org/document/9158137 |year=2020 |___location=Phuket, Thailand |publisher=IEEE |pages=242–245 |doi=10.1109/ECTI-CON49241.2020.9158137 |isbn=978-1-7281-6486-1|s2cid=221086279 }}</ref><ref>{{Cite book |last1=Oishi |first1=Yu |last2=Matsunaga |first2=Tsuneo |title=2010 IEEE International Geoscience and Remote Sensing Symposium |chapter=Automatic detection of moving wild animals in airborne remote sensing images |chapter-url=https://ieeexplore.ieee.org/document/5654227 |year=2010 |pages=517–519 |doi=10.1109/IGARSS.2010.5654227|isbn=978-1-4244-9565-8 |s2cid=16812504 }}</ref><ref>{{Cite journal |last1=Ramanan |first1=D. |last2=Forsyth |first2=D.A. |last3=Barnard |first3=K. |title=Building models of animals from video |url=https://ieeexplore.ieee.org/document/1642665 |journal=IEEE Transactions on Pattern Analysis and Machine Intelligence |year=2006 |volume=28 |issue=8 |pages=1319–1334 |doi=10.1109/TPAMI.2006.155 |pmid=16886866 |s2cid=1699015 |issn=0162-8828}}</ref>