Lightweight camouflaged object detection model based on multilevel feature fusion
Abstract The intrinsic similarity between camouflaged objects and background environment impedes the automatic detection/segmentation of camouflaged objects, and novel network architectures for deep learning are promising to overcome this challenge and improve detection accuracy. However, these exis...
| Published in: | Complex & Intelligent Systems |
|---|---|
| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-03-01
|
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-024-01386-3 |