A multi-scale ship target detection method based on spatial channel serial attention
By proposing a multi-scale ship target detection method based on spatial channel serial attention, the problems of low accuracy and feature degradation in multi-scale ship target detection are solved, achieving efficient and accurate multi-scale ship target detection and improving detection accuracy and model adaptability.
Patent Information
- Application Number
- CN202610618064.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies have low accuracy in multi-scale ship target detection, which cannot meet the needs of real-time detection. Furthermore, the similarity in color between ships and the ocean leads to features such as low contrast and blurred edges in the images, which degrades the features. Water surface fog and special geometric limits further weaken the feature representation of target detection.
A multi-scale ship target detection method based on spatial channel serial attention is adopted. By establishing a heavy parameter feature extraction block, a divide-and-conquer feature fusion block and spatial channel serial attention, a multi-scale ship target detection network is built. Pixel threshold constraints and lightweight convolution are introduced to enhance the model's detection capability in different scenarios.
It improves the accuracy of multi-scale ship target detection, enhances the model's deployment adaptability in embedded devices with limited storage space, improves detection capabilities in different scenarios, and enhances accuracy and AP metrics.
Smart Images
Figure CN122415994A_ABST