Using a controllable synthetic dataset, the authors show that common data properties, especially saliency bias, prevent CLIP models from learning object-attribute binding, and that fixing the data achieves near-perfect binding.
In: The Eleventh International Conference on Learning Representations (2023), https://openreview.net/forum?id=mWVoBz4W0u
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Common Data Properties Limit Object-Attribute Binding in CLIP
Using a controllable synthetic dataset, the authors show that common data properties, especially saliency bias, prevent CLIP models from learning object-attribute binding, and that fixing the data achieves near-perfect binding.