Abstract: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...

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 ...

In recent years, underwater object detection (UOD) has become a prominent research area in the computer vision community. However, existing UOD approaches are still vulnerable to underwater ...

1 Department of Computer Science, The University of Zambia, Lusaka, Zambia. 2 Department of Clinical Care, Levy University Teaching Hospital, Lusaka, Zambia. This paper focuses on the use of YOLOv12 ...

Introduced in the paper "Roboflow 100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models", RF100-VL is a large-scale collection of 100 multi-modal datasets with diverse concepts ...

Abstract: Currently, few-shot object detection (FSOD) methods for synthetic aperture radar (SAR) images are severely understudied. The high confidentiality and scarcity of SAR data, coupled with the ...

This diagram illustrates potential dataflows of an AI application written in PyTorch, highlighting the data sources and artifacts produced, as well as APIs used to interact with the underlying system.