Not sure I see your point. How is it harder to understand a model that was trained to predict which two images crops come from the same source image (a la cont

Not sure I see your point. How is it harder to understand a model that was trained to predict which two images crops come from the same source image (a la contrastive loss for example), than a model that was trained to predict which class an image belongs to?