Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection.
Rundong HeRongxue LiZhongyi HanXihong YangYilong YinPublished in: ACM Multimedia (2023)
Keyphrases
- structure learning
- weakly supervised
- graphical models
- bayesian networks
- object detection
- object class
- object detectors
- conditional independence
- random variables
- topic models
- parameter estimation
- transfer learning
- superpixels
- relation extraction
- sample size
- markov networks
- object segmentation
- semi supervised
- bayesian framework
- network structure
- data sets
- maximum likelihood
- probability distribution
- object recognition
- knowledge base
- information retrieval