Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer

@article{Tang2016LargeSS,
  title={Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer},
  author={Yuxing Tang and Josiah Wang and Boyang Gao and Emmanuel Dellandr{\'e}a and Robert J. Gaizauskas and Liming Chen},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={2119-2128}
}
Deep CNN-based object detection systems have achieved remarkable success on several large-scale object detection benchmarks. However, training such detectors requires a large number of labeled bounding boxes, which are more difficult to obtain than image-level annotations. Previous work addresses this issue by transforming image-level classifiers into object detectors. This is done by modeling the differences between the two on categories with both imagelevel and bounding box annotations, and… CONTINUE READING
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