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pro vyhledávání: '"Shen, Shufan"'
Parameter-efficient fine-tuning (PEFT) is an effective method for adapting pre-trained vision models to downstream tasks by tuning a small subset of parameters. Among PEFT methods, sparse tuning achieves superior performance by only adjusting the wei
Externí odkaz:
http://arxiv.org/abs/2411.01800
In this report, we discribe the submission of Tongji University undergraduate team to the CLOSE track of the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2020 at Interspeech 2020. We applied the RSBU-CW module to the ResNet34 framework to improve
Externí odkaz:
http://arxiv.org/abs/2010.10145
Autor:
Shen, Shufang.
Thesis (M.A.)--Dong Wu da xue, 1979.
Reproduced from ms. copy. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (p. 146-153).
Reproduced from ms. copy. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (p. 146-153).
Externí odkaz:
http://catalog.hathitrust.org/api/volumes/oclc/23342977.html