Abstract: Road object detection is pivotal in autonomous vehicles, traffic management, and safety. Traditional methods have limitations in complex real-world road scenarios. Deep learning, with its ...

This package includes our codes for implementing "Adversarial Meta-Learning for Few-Shot Object Detection". (First Release Date: 2025-04-13) Please refer to mmfewshot ...

Abstract: The significant domain differences between heterogeneous synthetic aperture radar (SAR) data lead to a serious degradation of the generalization ability of existing detection models in real ...