"No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen ..."

Walter Simoncini et al. (2024)

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DOI: 10.48550/ARXIV.2407.10964

access: open

type: Informal or Other Publication

metadata version: 2024-08-23

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  dblp key:
  - journals/corr/abs-2407-10964
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  - https://dblp.org/rec/journals/corr/abs-2407-10964
Walter Simoncini, Spyros Gidaris, Andrei Bursuc, Yuki M. Asano:
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations. CoRR abs/2407.10964 (2024)

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