ecrireme / spr Goto Github PK
View Code? Open in Web Editor NEWOfficial Repository for our ICCV2021 paper: Continual Learning on Noisy Data Streams via Self-Purified Replay
License: MIT License
Official Repository for our ICCV2021 paper: Continual Learning on Noisy Data Streams via Self-Purified Replay
License: MIT License
This is a good job. However, I wonder if there is a mistake in the calculation of similarity_matrix in Line 136, SPR.py? Since the cosine similarity of the feature itself is equal to 1, it seems to be different from the definition of adjacency matrix (i.e., 0).
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