Utilizing Dataset Affinity Prediction in Object Detection to Assess Training Data.
Stefan BeckerJens BayerRonny HugWolfgang HübnerMichael ArensPublished in: ROBOVIS (2024)
Keyphrases
- object detection
- training data
- pascal voc
- training dataset
- manually labeled training data
- prediction accuracy
- test data
- training set
- data sets
- computer vision
- object detectors
- benchmark datasets
- scene recognition
- prediction model
- object categories
- decision trees
- prediction algorithm
- prediction error
- neural network
- weakly labeled
- learning algorithm
- pedestrian detection
- face detection
- test set
- classification accuracy
- training examples
- supervised learning
- pairwise
- object class
- training samples
- training process
- object classification
- prior knowledge
- object segmentation
- test cases
- image classification
- representative set
- domain knowledge
- multi class