Deep Active Learning with Noisy Oracle in Object Detection.
Marius SchubertTobias RiedlingerKarsten KahlMatthias RottmannPublished in: CoRR (2023)
Keyphrases
- object detection
- active learning
- object categories
- object recognition
- learning strategies
- object class
- face detection
- label noise
- selective sampling
- pedestrian detection
- learning algorithm
- relevance feedback
- random sampling
- scene recognition
- cost sensitive
- experimental design
- machine learning
- active learning strategies
- deformable part models
- oracle database
- background subtraction
- multi class
- semi supervised
- noisy data
- pool based active learning
- computer vision
- sample selection
- object oriented
- batch mode
- noisy environments
- human detection
- image parsing
- image classification
- labeled data
- database
- semi supervised learning