Deep learning for anomaly detection is one of the current hot topics in remote sensing. However, most deep learning-based methods require retraining or parameter fine-tuning when detecting different ...

Remote sensing images pose significant challenges for object detection due to their high resolution, complex backgrounds, large scale variations, and dense distribution of small targets. To address ...

This is the official code to reproduce the experiments in the paper AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2, accepted at IEEE/CVF Winter Conference on Applications of ...

Prostate cancer affects one in eight men in the U.S. over their lifetime, which is the same rate as women and breast cancer. Yet, comparatively, it remains widely misunderstood. In 2026 alone, an ...

Start with a foggy image. Apply a dehazing model to remove fog. Pass the dehazed image through YOLO for object detection. Compare the original foggy image, the dehazed result, and the YOLO-detected ...

Microsoft Defender Security Research has observed a widespread phishing campaign leveraging the device code authentication flow to compromise organizational accounts at scale. While traditional device ...