A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection.
Andreas BärJonas UhrigJeethesh Pai UmeshMarius CordtsTim FingscheidtPublished in: CVPR Workshops (2023)
Keyphrases
- object detection
- pascal voc
- face detection
- object localization
- computer vision
- data sets
- pairwise
- benchmark datasets
- class labels
- object classification
- object segmentation
- weakly labeled
- scene recognition
- noisy environments
- multi label classification
- scene understanding
- pedestrian detection
- background subtraction
- multi label
- bag of words
- multi class
- training data
- data mining
- low quality
- high dimensional
- machine learning
- refinement process
- database