Object Part Appearance Module built into Yolo for Occlusion-Reference-Cited by-同舟云学术

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Object Part Appearance Module built into Yolo for Occlusion

Published:2024-04-21 Issue: Volume:28 Page:1-8
ISSN:
Container-title:2024 8th International Conference on Image and Signal Processing and their Applications (ISPA)
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Author:

Remmouche Brahim¹,Taffar Mokhtar¹,Boukraa Doulkifli¹

Affiliation:

1. University of Jijel,LaRIA Lab, Computer Sc. Dpt Faculty of Exact Sciences and Computer Science,Jijel,Algeria,18000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10536721/10536698/10536847.pdf?arnumber=10536847

Reference49 articles.

1. Scalable Object Detection Using Deep Neural Networks

2. Pedestrian Detection: An Evaluation of the State of the Art

3. Saliency guided faster-RCNN (SGFr-RCNN) model for object detection and recognition

4. Part-Based R-CNNs for Fine-Grained Category Detection

5. A discriminative deep model for pedestrian detection with occlusion handling

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