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Text-guided referring image segmentation

Published on:

27 October 2023

Primary Category:

Computer Vision and Pattern Recognition

Paper Authors:

Yucheng Suo,

Linchao Zhu,

Yi Yang

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Key Details

Proposes training-free referring image segmentation using CLIP

Generates text to enhance fine-grained region-text alignment

Uses positive and negative texts to improve matching

Outperforms previous state-of-the-art methods

Does not require model architecture changes

AI generated summary

Text-guided referring image segmentation

This paper proposes a new framework for referring image segmentation that does not require pixel-level supervision during training. It introduces techniques to enhance the alignment between referring expressions and local image regions using generated text, improving results.

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