Text Augmented Spatial Aware Zero-shot Referring Image Segmentation (2023.findings-emnlp)
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| Challenge: | Existing zero-shot referring image segmentation methods focus on global-level alignment of image-text pairs, neglecting fine-grained matching between referring sentence and local image regions. |
| Approach: | They propose a zero-shot referring image segmentation task that is training-free . they use a mask proposal network and a text-augmented spatial-correction score . |
| Outcome: | The proposed method outperforms state-of-the-art zero-shot referring image segmentation methods. |
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