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Found 5 papers, 1 papers with code
A Robust Learning Approach to Domain Adaptive Object Detection
To adapt to the domain shift, the model is trained on the target domain using a set of noisy object bounding boxes that are obtained by a detection model trained only in the source domain.
Distribution Aware Active Learning
This strategy does not make good use of the structure of the dataset at hand and is prone to be misguided by outliers.
DIY Human Action Data Set Generation
Therefore, the ability to generate de novo data or expand an existing data set, however small, in order to satisfy data requirement of current networks may be invaluable.
Active Learning for Structured Prediction from Partially Labeled Data
We propose a general purpose active learning algorithm for structured prediction, gathering labeled data for training a model that outputs a set of related labels for an image or video.
Discovering Human Interactions in Videos with Limited Data Labeling
We present a novel approach for discovering human interactions in videos.
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