Relaxing from Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging

@article{Fu2015RelaxingFV,
  title={Relaxing from Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging},
  author={Jianlong Fu and Yue Wu and Tao Mei and Jinqiao Wang and Hanqing Lu and Yong Rui},
  journal={2015 IEEE International Conference on Computer Vision (ICCV)},
  year={2015},
  pages={1985-1993}
}
The development of deep learning has empowered machines with comparable capability of recognizing limited image categories to human beings. However, most existing approaches heavily rely on human-curated training data, which hinders the scalability to large and unlabeled vocabularies in image tagging. In this paper, we propose a weakly-supervised deep learning model which can be trained from the readily available Web images to relax the dependence on human labors and scale up to arbitrary tags… CONTINUE READING
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