一种目标检测方法、装置、存储介质及电子设备
By introducing the dynamic lateral inhibition mechanism of dragonfly compound eyes into the target detection algorithm, and combining the joint inhibition of spatial and channel dimensions, the feature fusion process is optimized, which solves the accuracy bottleneck of small target detection in complex scenes and achieves higher recognition accuracy and robustness.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INSPUR (SHANDONG) COMPUTER TECH CO LTD
- Filing Date
- 2026-05-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing target detection algorithms suffer from a bottleneck in the accuracy of small target detection in complex scenes, especially with high false negative and false positive rates under varying illumination and background interference. Furthermore, the lateral inhibition mechanism of existing biological vision systems fails to effectively combine the dynamic characteristics of multi-scale features, leading to noise accumulation and insufficient accuracy.
A dynamic side-suppression mechanism for dragonfly compound eyes is introduced. By jointly suppressing the spatial and channel dimensions of the backbone network, and combining the cross-scale semantic mask and channel suppression factor of the feature pyramid network, the feature fusion process is optimized to achieve local sharpening and global noise reduction.
It improves the target detection accuracy in complex scenarios, reduces noise interference, and enhances the recognition accuracy and robustness of small target detection.
Smart Images
Figure CN122200205B_ABST