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Continual learning for end-to-end automatic speech recognition has to contend with a number of difficulties. Fine-tuning strategies tend to lose performance on data already seen, a process known as catastrophic forgetting. On the other hand, strategi
Externí odkaz:
http://arxiv.org/abs/2305.09681
Although various image-based domain adaptation (DA) techniques have been proposed in recent years, domain shift in videos is still not well-explored. Most previous works only evaluate performance on small-scale datasets which are saturated. Therefore
Externí odkaz:
http://arxiv.org/abs/1907.12743
Publikováno v:
ICCV
Although various image-based domain adaptation (DA) techniques have been proposed in recent years, domain shift in videos is still not well-explored. Most previous works only evaluate performance on small-scale datasets which are saturated. Therefore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14dac5e5652ceae9f19584b31e11b6ee