Multi-Head Self-Attention-Incorporated YOLOv5s for Satellites Detection

Multi-Head Self-Attention-Incorporated YOLOv5s for Satellites Detection

To address challenges associated with detecting objects in images for in-orbit services, often involving changes in the object scale, we proposed a method for detecting satellites using YOLOv5s with a multi-head self-attention mechanism MHSA-YOLOv5s. After mosaic data enhancement and the initial anc...

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Bibliographic Details
Main Authors: Yufei Liu, Weijie Wang, Ruida Ye, Yuan Ren, Lifen Wang, Weikun Pang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Satellites detection
multi-head self-attention mechanism
YOLOv5s
on-orbit servicing (OOS)
satellite image processing
Online Access:https://ieeexplore.ieee.org/document/10741217/
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https://ieeexplore.ieee.org/document/10741217/

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