1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Prompt Distribution Learning
Yuning Lu, Jianzhuang Liu, Yonggang Zhang +2
We present prompt distribution learning for effectively adapting a pre-trained vision-language model to address downstream recognition tasks. Our method not only learns low-bias pr…
eess.AS2021★ 1 cited
Phoneme-based Distribution Regularization for Speech Enhancement
Yajing Liu, Xiulian Peng, Zhiwei Xiong +1
Existing speech enhancement methods mainly separate speech from noises at the signal level or in the time-frequency domain. They seldom pay attention to the semantic information of…