: A Unified Framework Towards Omni-supervised Object Detection.
Zhongzheng RenZhiding YuXiaodong YangMing-Yu LiuAlexander G. SchwingJan KautzPublished in: ECCV (19) (2020)
Keyphrases
- training data
- semi supervised learning
- object detection
- supervised learning
- manually labeled training data
- learning algorithm
- semi supervised
- unsupervised learning
- supervised classification
- computer vision
- object categories
- scene understanding
- object class
- face detection
- background subtraction
- object recognition
- omni directional
- training set
- pascal voc
- multi class
- pedestrian detection
- surveillance system
- object classification
- machine learning
- active learning
- data mining
- weakly supervised
- human detection
- object detectors
- feature selection
- object segmentation
- scene recognition
- neural network
- category level
- deformable part models
- pairwise