An empirical study on adaptation methods for large-scale vision-language models
Since the rise of powerful large-scale pre-trained Vision-Language (VL) models, such as CLIP and ALIGN, pre-training and fine-tuning have become promising paradigms to build transferable models for different downstream tasks. However, it is often prohibitive to fine-tune the whole pre-trained VL mod...
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格式: | Final Year Project |
語言: | English |
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Nanyang Technological University
2023
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在線閱讀: | https://hdl.handle.net/10356/165970 |
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機構: | Nanyang Technological University |
語言: | English |