The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes ...
Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, ...
The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...
Abstract: YOLOv10, known for its efficiency in object detection methods, quickly and accurately detects objects in images. However, when detecting small objects in remote sensing imagery, traditional ...
Abstract: Maritime environments often face visibility challenges due to haze which significantly impacts detection models. However, existing maritime object detection algorithms often neglect haze ...
DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...
DiffCollision is a robust and efficient differentiable collision detection framework for general 3D objects, supporting both convex and concave geometries. It builds on the high-performance Coal ...
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