Image Attribution

Image attribution algorithms aim to identify regions of an image that are highly relevant to the model's decision by quantifying the contribution of each part to the final prediction, thereby enhancing model transparency and interpretability. This technology holds significant application value in the field of computer vision, as it can help researchers and developers understand the decision-making process of models, optimize model performance, and increase user trust in the models.