Intel presents five computer vision papers that detail novel works that include a Dynamic Scene Graph Detection Transformer, a Fast Learnable Once-for-all Adversarial Training method, a method for quantizing convolutional neural networks for efficient training, face access models applied in a hypothetical social network, and a novel non-local self-attentive pooling method.
-
Articles récents
- Clustering Time Series with PCA and DBSCAN
- Deploy Enterprise-Ready AI with Dell PowerEdge and Intel® Gaudi® 3
- Roofline AI’s Role in Advancing Compiler Technology with oneAPI
- UT Austin’s HackTX 2024 Hackathon: Top Projects Built Using Intel® AI Technologies
- Transforming 2D Designs into Stunning 3D Creations Using AI with Adobe Creative Cloud and Substance
-
Neural networks news
Intel NN News
- Clustering Time Series with PCA and DBSCAN
This article shows how to perform clustering of time series data using PCA and DBSCAN.
- Deploy Enterprise-Ready AI with Dell PowerEdge and Intel® Gaudi® 3
Learn about the newly launched Dell Generative AI Solutions with Intel, powered by Dell PowerEdge […]
- Roofline AI's Role in Advancing Compiler Technology with oneAPI
Intel® Liftoff member, Roofline AI took the stage at the oneAPI DevSummit to showcase its […]
- Clustering Time Series with PCA and DBSCAN