Are Vision Language Models Texture or Shape Biased and Can We Steer Them?
Paper • 2403.09193 • Published • 9
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This dataset contains images of natural objects with low- and high-frequency cue conflicts, as described in the paper Can We Talk Models Into Seeing the World Differently?.
The dataset consists of 1200 images where the low-frequency and high-frequency information correlate with different classes (out of 16 classes). This dataset can be used to evaluate the frequency-bias of vision models.
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