AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 124 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
A framework in which a classifier, trained on normal images and on synthetic anomalies, scores a test image without comparing it with normal data is proposed, suggesting that clean benchmark scores can hide a strong sensitivity to capture conditions, and that learning the decision from both normal images and rule viola...
The Sensitive Benchmark (SenBen), a large-scale scene graph dataset of 13,999 movie frames from 157 films, is introduced and a multi-task distillation recipe targeting vocabulary imbalance in autoregressive scene graph generation is proposed targeting vocabulary imbalance in autoregressive scene graph generation.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.