Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation.
Lars SchmarjeVasco GrossmannClaudius ZelenkaSabine DippelRainer KikoMariusz OszustMatti PastellJenny StrackeAnna ValrosNina VolkmannReinhard KochPublished in: NeurIPS (2022)
Keyphrases
- data centric
- image classification
- multi label
- image annotation
- information management
- business processes
- data management
- feature extraction
- data driven
- application development
- data representation
- image representation
- information integration
- image features
- metadata
- xml schema
- label noise
- wireless sensor networks
- active learning
- distributed systems
- relational databases
- image retrieval
- conceptual model
- feature selection
- web services
- data streams
- expert systems
- high dimensional
- semi structured
- routing protocol
- data warehouse
- database management systems
- data processing