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A. Torralba, A. A.
The famous single‐image‐dataset
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One of the first real image
One of the first “real” image
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3. The state of The gathered The processed
the world data data
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I (W ; D )  I (W ; R )
The data processing theorem states that data
processing can only destroy information.
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David J.C. MacKay. Information Theory, Inference, and Learning Algorithms. Cambridge University Press 2003.

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Caltech101 UIUC
MSRC Tiny Images
ImageNet PASCAL VOC
LabelMe SUN09
15Scenes Corel
Caltech256 COIL‐100
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6. Antonio Torralba, Alexei A. Efros.
Unbiased Look at Dataset Bias.
CVPR, 2011.
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7. Antonio Torralba, Alexei A. Efros.
Unbiased Look at Dataset Bias.
CVPR, 2011.
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8. Antonio Torralba, Alexei A. Efros.
Unbiased Look at Dataset Bias.
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9. Antonio Torralba, Alexei A. Efros.
Unbiased Look at Dataset Bias.
CVPR, 2011.
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10. Antonio Torralba, Alexei A. Efros.
Unbiased Look at Dataset Bias.
CVPR, 2011.
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11. Antonio Torralba, Alexei A. Efros.
Unbiased Look at Dataset Bias.
CVPR, 2011.
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14. Antonio Torralba, Alexei A. Efros.
Unbiased Look at Dataset Bias.
CVPR, 2011.
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15. Antonio Torralba, Alexei A. Efros.
Unbiased Look at Dataset Bias.
CVPR, 2011.
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16. Antonio Torralba, Alexei A. Efros.
Unbiased Look at Dataset Bias.
CVPR, 2011.
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17. Antonio Torralba, Alexei A. Efros.
Unbiased Look at Dataset Bias.
CVPR, 2011.
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18. Antonio Torralba, Alexei A. Efros.
Unbiased Look at Dataset Bias.
CVPR, 2011.
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19. Antonio Torralba, Alexei A. Efros.
Unbiased Look at Dataset Bias.
CVPR, 2011.
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20. Antonio Torralba, Alexei A. Efros.
Unbiased Look at Dataset Bias.
CVPR, 2011.
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22. B. Kulis, K. Saenko, and T. Darrell. What
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23. B. Kulis, K. Saenko, and T. Darrell.
What You Saw is Not What You Get:
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Asymmetric Regularized Cross‐domain transformation
problem with similarity and dissimilarity constraints (ARC‐t)
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24. B. Kulis, K. Saenko, and T. Darrell.
What You Saw is Not What You Get:
Domain Adaptation Using Asymmetric
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25. B. Kulis, K. Saenko, and T. Darrell.
What You Saw is Not What You Get:
Domain Adaptation Using Asymmetric
Kernel Transforms. CVPR, 2011.
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28. S. Dhar, V. Ordonez, and T. L Berg. High
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29. S. Dhar, V. Ordonez, and T. L Berg. High
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31. M. Douze, A. Ramisa, and C. Schmid.
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33. S. J. Hwang, F. Sha, and
K. Grauman. Sharing
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34. S. J. Hwang, F. Sha, and K.
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35. S. J. Hwang, F. Sha, and
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37. M. Rohrbach, M. Stark, and B. Schiele. Evaluating Knowledge Transfer
and Zero‐Shot Learning in a Large‐Scale Setting. CVPR, 2011.
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38. M. Rohrbach, M. Stark, and B. Schiele.
Evaluating Knowledge Transfer and Zero‐Shot
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