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# System prepended metadata

title: 'Review - GTA: Guided Transfer of Spatial Attention from Self-supervised Models'

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# Review - GTA: Guided Transfer of Spatial Attention from Self-supervised Models

### Weakness
- The main intuition behind Eqn 5 is that TL on downstream task with limited data could result in worse performance and thus constraining the target model to resemble the source model is a solution. However, in situation where data is adequate, would such approach limit the performance of the target model?  I would suggest experimenting on transfering to a broader range of datasets as the ones used in the paper are all too small to give a more concrete analysis of the proposed method.
- Authors should notify the specific SL and SSL methods used in Table 6 and experiment on whether different kinds of those methods will affect the result.
- While the proposed GTA is simple and effective, the total contribution of the paper seems a little limited.
- There are a few grammatical and writing issues (e.g., L162 "Motivating by this issue ...").