semi-supervised learning

We propose an appearance-based curriculum (ABC) for a semi-supervised learning scenario where labeled images taken from limited angles and unlabeled ones taken from various angles are available for training. A common approach to semi-supervised …

We propose a non-iterative method to optimize pseudo-labeling thresholds for learning object detection from a collection of low-cost datasets, each of which is annotated for only a subset of all the object classes. A popular approach to this problem …