Fourier self-supervision, using low- and high-pass filtered image views with frequency-specialized latent dimensions, improves fine-grained Generalized Category Discovery over SimGCD and SelEx baselines.
Advances in neural information processing systems33, 9912–9924 (2020) 1 16 S
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Fourier Self-Supervision for Fine-Grained Generalized Category Discovery
Fourier self-supervision, using low- and high-pass filtered image views with frequency-specialized latent dimensions, improves fine-grained Generalized Category Discovery over SimGCD and SelEx baselines.