No research has comprehensively assessed the overall robustness and potential vulnerabilities of deep-neural-network (DNN)-based models used for object detection and image classification in RS images.

Image classification is one of AI's most common tasks, where a system is required to recognize an object from a given image. Yet real life requires us to recognize not a single standalone object but ...

The proposed method enhanced object detection and image classification by adapting to these challenges, resulting in improved generalization and robustness in real-world visual tasks.

Object detection takes image classification one step further and provides the bounding box where detected objects are located.