To reduce the annotation cost, existing methods propose randomly annotating a proportion of images or objects for aerial object detection with fewer label usage. These approaches, however, can lead to ...

this article introduces physical constraints to ensure that object detection tasks do not interfere with image enhancement tasks. Numerical experiments demonstrate that the proposed model achieves ...

This project aims to demonstrate how to configure visible and infrared datasets to accommodate multimodal object detection ... Visible light image files │ │ └── labels/ # Label files for visible light ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...

Kisantal M, Wojna Z, Murawski J, et al. Augmentation for small object detection[J]. arXiv preprint arXiv:1902.07296, 2019. pdf Make sure the file "/augmentation_zoo ...

Machine learning models are of great significance in the field of disease risk alerts, owing to their outstanding data processing and image recognition capabilities. The predictive power of machine ...