Can Visual Recognition Benefit from Auxiliary Information in Training?

  title={Can Visual Recognition Benefit from Auxiliary Information in Training?},
  author={Qilin Zhang and Gang Hua and Wei Liu and Zicheng Liu and Zhengyou Zhang},
We examine an under-explored visual recognition problem, where we have a main view along with an auxiliary view of visual information present in the training data, but merely the main view is available in the test data. To effectively leverage the auxiliary view to train a stronger classifier, we propose a collaborative auxiliary learning framework based on a new discriminative canonical correlation analysis. This framework reveals a common semantic space shared across both views through… CONTINUE READING
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