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Roberto Amoroso

1 accepted papers

2024

Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation

CVPR 2024poster

Open-vocabulary semantic segmentation aims at segmenting arbitrary categories expressed in textual form. Previous works have trained over large amounts of image-caption pairs to enforce pixel-level multimodal alignments. However captions provide global information about the semantics of a given imag…