Instance Segmentation based Object Detection with Enhanced Path Aggregation Network

Ade Indra Onthoni, Prasan Kumar Sahoo

研究成果: 圖書/報告稿件的類型會議稿件同行評審

1 引文 斯高帕斯(Scopus)

摘要

Multi-scale networks rely heavily on the aggregation process to aggregate feature information into other feature maps. However, it has disadvantages in aggregating information, where the localization information becomes inconsistent. An Enhancing Path Aggregation Network through concatenation and attention mechanism is proposed here to improve the aggregation path for generating the feature maps in multi-scale network. This approach helps to keep information consistently during the process of aggregation. The proposed model is evaluated using the COCO dataset, which achieves significant improvements on several metrics.

原文英語
主出版物標題2023 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2023
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350348071
DOIs
出版狀態已出版 - 2023
事件2023 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2023 - Recife-Pe, 巴西
持續時間: 29 10 202301 11 2023

出版系列

名字2023 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2023

Conference

Conference2023 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2023
國家/地區巴西
城市Recife-Pe
期間29/10/2301/11/23

文獻附註

Publisher Copyright:
© 2023 IEEE.

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