Where does a computer vision model make mistakes? Using interactive visualizations to find where and how CV models can improve.
Hayeong SongGonzalo RamosPeter BodíkPublished in: CoRR (2023)
Keyphrases
- computer vision
- probabilistic model
- statistical models
- experimental data
- process model
- hybrid model
- mathematical model
- statistical model
- classification models
- bayesian framework
- multiple models
- predictive model
- parametric models
- learning models
- computer graphics
- parameter estimation
- computational intelligence
- prior knowledge
- object recognition
- information retrieval
- linear model
- autoregressive
- web applications
- modeling framework
- analytical model