Reimplementation of CVPR Paper - Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
Paper link is provided here

Representation Similarity Analysis (RSA) is to measure the similarity of the feature maps extracted by two models.
The paper suggested that "RSA could beused for deciding different branching out locations for different tasks, depending on their similarity with the representations at different depth of the shared root".
Thus, this repo only reproduce the RSA method proposed by the CVPR paper, to test this hyphothesis.