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TAG: Guidance-free Open-Vocabulary Semantic Segmentation
Unsupervised and open-vocabulary segmentation, proposed to tackle these issues, faces challenges, including the inability to assign specific class labels to clusters and the necessity of user-provided text queries for guidance.
MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic Segmentation
Semantic segmentation is essential in computer vision for various applications, yet traditional approaches face significant challenges, including the high cost of annotation and extensive training for supervised learning.
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