Commit 3d5fb1b6 authored by Amelie Royer's avatar Amelie Royer

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parent 08edfd05
- Data examples: colorized ILSVRC and spatial ILSVRC. Different visual domains but same target task
- setting = only have a pretrained model on data X, and limited amound of annotated samples from data Y
- baseline = fine-tuning later layers, keeping the early one frozen
- proposed: "projecting" data Y to data X at the feature level
- fine-tuning
require a layer criterion selection = analyze accuracy when replacing early layers by ones finetuned on the other dataset
select the "turning-point layer" as the one with the highest drop in accurcy
~ similar to criterion in How "transferable are features in deep neural networks?", Yosinski et al.
- projection module: image-to-image module. Mainly useful for parametriwed transformations
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