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Overview of the approach. For one triplet, we computed the original predicted softmax probability based on the entire representational embedding for each object image in the triplet. We then iteratively pruned individual dimensions from the representational embedding and stored the resulting change in the predicted softmax probabilityrelative to that of the full embeddingas a relevance score for that dimension.
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