Research Article
Classification of Long-Tailed Data Based on Bilateral-Branch Generative Network with Time-Supervised Strategy
Algorithm 2
Data generation algorithm.
| Input: An unbalanced data branch . A resampled data branch . A network f. A pre-trained generative network G. | | Output: A augmented balanced data branch O | (1) | | (2) | for k = in do | (3) | | (4) | for i = 1 to do | (5) | | (6) | A random sample of class in | (7) | Add some noise to the | (8) | for t = 1 to L do | (9) | | (10) | | (11) | | (12) | | (13) | end for | (14) | | (15) | If or P = 1 then | (16) | A random sample of class in | (17) | end if | (18) | | (19) | end for | (20) | end for |
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