Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection.
Rundong HeRongxue LiZhongyi HanYilong YinPublished in: CoRR (2022)
Keyphrases
- structure learning
- weakly supervised
- bayesian networks
- object detectors
- graphical models
- conditional independence
- object class
- transfer learning
- object detection
- parameter estimation
- random variables
- relation extraction
- probability distribution
- superpixels
- topic models
- natural language processing
- semi supervised
- markov networks
- sample size
- bounding box
- object recognition