Emergent semantic segmentation: training-free dense-label-free extraction from vision-language models

From an enormous amount of image-text pairs, large-scale vision-language models (VLMs) learn to implicitly associate image regions with words, which is vital for tasks such as image captioning and visual question answering. However, leveraging such pre-trained models for open-vocabulary semantic s...

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Bibliographic Details
Main Author: Luo, Jiayun
Other Authors: Li Boyang
Format: Thesis-Master by Research
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175765
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Institution: Nanyang Technological University
Language: English
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