Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...

Abstract: Large-scale high-resolution remote sensing images (LSHR) are increasingly adopted for object detection, since they capture finer details. However, LSHR imposes a substantial computational ...

Abstract: High-spatial-resolution remote sensing imagery applications demand computationally efficient detection methods due to their massive scale and real-time processing requirements. However, fast ...

Discovery joins a list of the greatest hits of the LIGO detector, which ten years ago became the first to detect gravitational waves. The songs of the cosmos, now that we can finally hear them, might ...

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

The DINOv3 codebase includes several task-specific heads for a variety of tasks, including classification, depth estimation, object detection, and semantic segmentation. The initial focus of this ...