Scalable Active Learning for Object Detection.
Elmar HaussmannMichele FenziKashyap ChittaJan IvaneckyHanson XuDonna RoyAkshita MittelNicolas KoumchatzkyClément FarabetJose M. AlvarezPublished in: CoRR (2020)
Keyphrases
- object detection
- active learning
- learning strategies
- face detection
- highly scalable
- scene understanding
- multi class
- object categories
- pedestrian detection
- object class
- experimental design
- web scale
- semi supervised
- random sampling
- training examples
- machine learning
- pool based active learning
- object classification
- object segmentation
- selective sampling
- unlabeled data
- relevance feedback
- learning algorithm
- background subtraction
- active learning strategies
- training set
- crowd sourced
- information retrieval
- neural network
- data sets
- batch mode active learning
- sample selection
- scene recognition
- memory efficient
- face recognition
- learning environment
- pairwise
- supervised learning
- lightweight