Deep Learning-based Detection of Greek Locations and Landmarks: A Qualitative Analysis of Weakly Supervised Classification and Supervised Detection-Reference-Cited by-同舟云学术

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Deep Learning-based Detection of Greek Locations and Landmarks: A Qualitative Analysis of Weakly Supervised Classification and Supervised Detection

Published:2023-10-14 Issue: Volume: Page:75-82
ISSN:
Container-title:2023 8th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)
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Author:

Trivizakis Eleftherios¹,Kassiotis Thomas¹,Oikonomou Nikolaos¹,Karatzanis Ioannis¹,Stefanis Ioannis¹,Chondromatidou Leoni¹,Manou Anastasia²,Panagiotidou Athena²,Papadopoulos Ioannis³,Mamoukaris Kyriakos⁴,Tsiknakis Manolis⁵,Marias Kostas⁵

Affiliation:

1. Foundation for Research and Technology, Hellas (FORTH),Computational BioMedicine Laboratory (CBML),Heraklion,Greece

2. White Fox S.A,Athens,Greece

3. National Centre of Audiovisual Media and Communication,ICT and Technical Operations Directorate,Athens,Greece

4. National Centre of Audiovisual Media and Communication (EKOME),ICT and Technical Operations Directorate,Athens,Greece

5. Foundation for Research and Technology, Hellas (FORTH)/Hellenic Mediterranean University,Computational BioMedicine Laboratory (CBML),Department of Electrical & Computer Engineering,Heraklion,Greece

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475783/10475784/10475872.pdf?arnumber=10475872

Reference25 articles.

1. Deep learning for visual understanding: A review

2. You Only Look Once: Unified, Real-Time Object Detection

3. YOLO9000: Better, Faster, Stronger

4. YOLOv3: An Incremental Improvement;Redmon,2023

5. YOLOv4: Optimal Speed and Accuracy of Object Detection;Bochkovskiy,2020

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