Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models.
Dogyun ParkSuhyun KimPublished in: ICCV (2023)
Keyphrases
- generative model
- precision and recall
- evaluation metrics
- evaluation measures
- probabilistic model
- posterior probability
- mixture model
- information extraction
- discriminative learning
- maximum entropy principle
- semi supervised
- em algorithm
- conditional random fields
- hierarchical hidden markov models
- highest precision
- expectation maximization
- prior knowledge
- discriminative models
- object categories
- object recognition
- information retrieval
- discriminative methods
- learning to rank
- machine learning
- generative and discriminative models
- data mining