A Novel Approach for Recognizing Occluded Objects Using Feature Pyramid Network Based on Occlusion Rate Analysis-Reference-Cited by-同舟云学术

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A Novel Approach for Recognizing Occluded Objects Using Feature Pyramid Network Based on Occlusion Rate Analysis

Published:2023-11-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)
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Author:

Ouardirhi Zainab¹,Ahmed Mahmoudi Sidi²,Zbakh Mostapha³

Affiliation:

1. FPMS, University of Mons, ENSIAS, Mohammed V University in Rabat,Computer and Management Engineering Department, Communication Networks Department,Rabat,Morocco

2. FPMS, University of Mons,Computer and Management Engineering Department,Mons,Belgium

3. ENSIAS, Mohammed V University in Rabat,Communication Networks Department,Rabat,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10365713/10366053/10366103.pdf?arnumber=10366103

Reference25 articles.

1. Human detection from images and videos: A survey

2. How Far are We from Solving Pedestrian Detection?

3. Stacked Hourglass Networks for Human Pose Estimation

4. Simple Baselines for Human Pose Estimation and Tracking

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