Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers.
Dominik ZietlowMichael LohausGuha BalakrishnanMatthäus KleindessnerFrancesco LocatelloBernhard SchölkopfChris RussellPublished in: CVPR (2022)
Keyphrases
- computer vision
- multi objective
- image processing
- object recognition
- computer graphics
- decision trees
- support vector
- training data
- camera calibration
- machine learning
- image segmentation
- multiple classifiers
- genetic algorithm
- machine learning algorithms
- image understanding
- signal processing
- object detection
- training set
- optical flow
- trained classifiers
- feature selection
- multiobjective optimization
- computer vision algorithms
- supervised classification
- classification rate
- classification models
- pattern recognition
- vision system
- test set
- classification algorithm
- image features
- classification systems
- ensemble learning
- image sequences
- face recognition
- svm classifier
- class labels
- roc curve
- multiple objectives
- action recognition
- classification method
- learning classifier systems
- face detection
- resource allocation
- image analysis