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Figure 16 - Unmasking Clever Hans Predictors and Assessing What Machines Really Learn

Figure 16: Images used as input for a FV model trained to detect horses, next to the corresponding relevance map. a) shows an image from the Pascal VOC 2007 dataset containing a copyright watermark, causing a strong response in the model. In b), the watermark has been edited out. The artificially created images c) and d) show a sports car on a lush green meadow with and without an added copyright watermark. In samples a) and c) the presence of class "horse" is detected, whereas in samples b) and d) this is not the case.
Images used as input for a FV model trained to detect horses, next to the corresponding relevance map. a) shows an image from the Pascal VOC 2007 dataset containing a copyright watermark, causing a strong response in the model. In b), the watermark has been edited out. The artificially created images c) and d) show a sports car on a lush green meadow with and without an added copyright watermark. In samples a) and c) the presence of class "horse" is detected, whereas in samples b) and d) this is not the case.
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