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KAN-YOLO: a nonlinear-enhanced and state space duality-driven YOLO network for robust ship detection in complex maritime scenes | Synapse
March 3, 2026
KAN-YOLO: a nonlinear-enhanced and state space duality-driven YOLO network for robust ship detection in complex maritime scenes
JL
Jingzhu Li
LX
Lintao Xu
JJ
Jianbin Jiao
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Robust ship detection is achieved in complex maritime scenes, enhancing operational efficiency and safety.
The model utilizes a nonlinear enhancement approach combined with state space principles for improved results.
Assessment utilizing a duality-driven YOLO network demonstrates significant advancements in ship detection accuracy.
These findings may enable more effective monitoring and management of maritime traffic, impacting global shipping operations.
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Li et al. (Tue,) studied this question.
synapsesocial.com/papers/69a76073c6e9836116a2d341
https://doi.org/https://doi.org/10.1007/s00530-025-02209-2
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