Transferring Common-Sense Knowledge for Object Detection

@article{Singh2018TransferringCK,
  title={Transferring Common-Sense Knowledge for Object Detection},
  author={Krishna Kumar Singh and Santosh Kumar Divvala and Ali Farhadi and Yong Jae Lee},
  journal={CoRR},
  year={2018},
  volume={abs/1804.01077}
}
We propose the idea of transferring common-sense knowledge from source categories to target categories for scalable object detection. In our setting, the training data for the source categories have bounding box annotations, while those for the target categories only have image-level annotations. Current state-of-the-art approaches focus on image-level visual or semantic similarity to adapt a detector trained on the source categories to the new target categories. In contrast, our key idea is to… CONTINUE READING

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