Improving YOLOv8 with Scattering Transform and Attention for Maritime Awareness-Reference-Cited by-同舟云学术

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Improving YOLOv8 with Scattering Transform and Attention for Maritime Awareness

Published:2023-09-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Symposium on Image and Signal Processing and Analysis (ISPA)
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Author:

Carrillo-Perez Borja¹,Rodriguez Angel Bueno¹,Barnes Sarah¹,Stephan Maurice¹

Affiliation:

1. Institute for the Protection of Maritime Infrastructures,German Aerospace Center (DLR),Bremerhaven,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10278502/10278578/10279352.pdf?arnumber=10279352

Reference31 articles.

1. Embedded 3d reconstruction of dynamic objects in real time for maritime situational awareness pictures;sattler;The Visual Computer,2023

2. Attention is all you need;vaswani;Advances in neural information processing systems,2017

3. Cbam: Convolutional block attention module;woo;Proceedings of the European Conference on Computer Vision (ECCV),0

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1. LDMNet: Enhancing the Segmentation Capabilities of Unmanned Surface Vehicles in Complex Waterway Scenarios;Applied Sciences;2024-08-31

2. Enhanced Small Ship Segmentation with Optimized ScatYOLOv8+CBAM on Embedded Systems;2024 IEEE International Conference on Real-time Computing and Robotics (RCAR);2024-06-24

3. 2^nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results;2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2024-01-01

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