K machine promises performance that can scale to 32 chip servers and beyond but immature stack makes harnessing compute ...
Visualization examples of YOLOv10-N/S, YOLO11-N/S, YOLOv12-N/S, and YOLOv13-N/S. Representative visualization examples of adaptive hyperedges. The hyperedges in the first and second columns mainly ...
Abstract: Single-Domain Generalization Object Detection (Single-DGOD) refers to training a model with only one source domain, enabling the model to generalize to any unseen domain. For instance, a ...
Designed to unify visibility, context, and remediation across cloud, hybrid, and on-premises environments, Sysdig enables security teams to make faster, smarter decisions that reduce high-impact risk ...
Spiking Neural Networks (SNNs), inspired by neuroscience principles, have gained attention for their energy efficiency. However, directly trained SNNs lag behind Artificial Neural Networks (ANNs) in ...
Abstract: Source-free domain adaptive object detection (SFOD) enables detectors trained on a source domain to be deployed to unlabeled target domains without access to the source data, thus addressing ...
While American tech giants are spending megabucks to learn the secrets of their rivals’ proprietary artificial-intelligence (AI) models, in China a different battle is under way. It is what Andrew Ng, ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
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