An empirical study on adaptation methods for large-scale vision-language models

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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Bibliographic Details
Main Author: Wang, Annan
Other Authors: Chen Change Loy
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/165970

Internet

https://hdl.handle.net/10356/165970

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