Multilevel fine-grained features-based general framework for object detection
This article proposes a practical and generalizable object detector, termed feature extraction-
fusion-prediction network (FEFP-Net) for real-world application scenarios. The existing …
fusion-prediction network (FEFP-Net) for real-world application scenarios. The existing …
A Cooperative Training Framework for Underwater Object Detection on a Clearer View
G Chen, Z Mao, Q Tu, J Shen - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Underwater optical image object detection plays a crucial role in fields such as ocean
exploration. However, constructing a comprehensive annotated dataset for training is …
exploration. However, constructing a comprehensive annotated dataset for training is …
[HTML][HTML] Multi-Scale Feature Fusion Enhancement for Underwater Object Detection
Z Xiao, Z Li, H Li, M Li, X Liu, Y Kong - Sensors, 2024 - mdpi.com
Underwater object detection (UOD) presents substantial challenges due to the complex
visual conditions and the physical properties of light in underwater environments. Small …
visual conditions and the physical properties of light in underwater environments. Small …
GLIC: Underwater target detection based on global–local information coupling and multi-scale feature fusion
H Xu, M Zhang, Y Li - Journal of Visual Communication and Image …, 2024 - Elsevier
With the rapid development of object detection technology, underwater object detection has
attracted widespread attention. Most of the existing underwater target detection methods are …
attracted widespread attention. Most of the existing underwater target detection methods are …