UIU-Net: U-Net in U-Net for Infrared Small Object Detection

🤖 Plain-English Summary

Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. The proposed UIU-Net also produces powerful generalization performance for video sequence infrared small object datasets, e.g., ATR ground/air video sequence dataset.

🔑 Key Findings

• This tends to result in tiny object loss and feature distinguishability limitations as the network depth increases.
• Additionally, small objects in infrared images are frequently emerged bright and dark, posing severe demands for obtaining precise object contrast information.
• For this reason, we in this paper propose a simple and effective "U-Net in U-Net" framework, UIU-Net for short, and detect small objects in infrared images.

🔗 Related Resources