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Allow specifying feature layer and pool factor in DFM #215

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merged 4 commits into from
Apr 12, 2022

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nahuja-intel
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@nahuja-intel nahuja-intel commented Apr 9, 2022

Description

  • Two additional parameters need to be specified for DFM: name of the layer from which features are extracted, and an integer pool factor. The features will be average-pooled by the specified pool factor before DFM is applied.

  • Fixes # (issue)

Changes

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • This change requires a documentation update

Checklist

  • My code follows the pre-commit style and check guidelines of this project.
  • I have performed a self-review of my code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing tests pass locally with my changes

@@ -14,6 +14,8 @@ dataset:
model:
name: dfm
backbone: resnet18
layer: layer3
pool: 4
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Maybe this could be renamed to pool_factor to make the parameter a bit more self explanatory

@samet-akcay samet-akcay merged commit 8d38266 into development Apr 12, 2022
@samet-akcay samet-akcay deleted the features/nilesh/dfm branch April 12, 2022 11:38
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4 participants