YOLOv7-sea: Object Detection of Maritime UAV Images based on Improved YOLOv7

Author:

Zhao Hangyue1,Zhang Hongpu1,Zhao Yanyun1

Affiliation:

1. Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Network System and Network Culture,China

Publisher

IEEE

Reference22 articles.

1. TPH-YOLOv5: Improved YOLOv5 based on transformer prediction head for object detection on drone-captured scenarios;xingkui;Proceedings of the IEEE/CVF In-ternational Conference on Computer Vision,0

2. Simple copy-paste is a strong data augmentation method for instance segmentation;golnaz;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,0

3. Dense and small object detection in uav vision based on cas-cade network;xindi;Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops,0

4. ViT- YOLO: Transformer-based YOLO for object detection;zixiao;Proceedings of the IEEE/CVF International Conference on Computer Vision,0

5. Cascade R-CNN: Delving Into High Quality Object Detection

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