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Jorge Piazentin Ono

1 accepted papers

2024

USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation

CVPR 2024poster

The open-vocabulary image segmentation task involves partitioning images into semantically meaningful segments and classifying them with flexible text-defined categories. The recent vision-based foundation models such as the Segment Anything Model (SAM) have shown superior performance in generating…

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