Learning to rank approach for refining image retrieval in visual arts.
Tetiana YemelianenkoIuliia TkachenkoTess MasclefMihaela ScuturiciSerge MiguetPublished in: ICCV (Workshops) (2023)
Keyphrases
- learning to rank
- image retrieval
- visual features
- ranking functions
- information retrieval
- loss function
- ranking svm
- document retrieval
- visual information
- supervised learning
- evaluation measures
- collaborative filtering
- low level
- query dependent
- test collection
- evaluation metrics
- direct optimization
- text retrieval
- pairwise
- content based retrieval
- low level features
- relevance feedback
- retrieval systems
- learning to rank algorithms
- balancing exploration and exploitation
- feature vectors
- feature space
- learning algorithm