Teacher:In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.
Teacher: Now, understand the problem? Solve this instance: We compare our approach with two baseline vision-based methods proposed in BIBREF6 , BIBREF7 , which measure the similarity of two sets of global visual features for bilingual lexicon induction:

CNN-mean: taking the similarity score of the averaged feature of the two image sets.

CNN-avgmax: taking the average of the maximum similarity scores of two image sets. 
 Question: Which vision-based approaches does this approach outperform?
Student:
CNN-mean CNN-avgmax