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pro vyhledávání: '"Yu, Seonghoon"'
Autor:
Yu, Seonghoon, Jung, Ilchae, Han, Byeongju, Kim, Taeoh, Kim, Yunho, Wee, Dongyoon, Son, Jeany
Referring image segmentation (RIS) requires dense vision-language interactions between visual pixels and textual words to segment objects based on a given description. However, commonly adapted dual-encoders in RIS, e.g., Swin transformer and BERT (u
Externí odkaz:
http://arxiv.org/abs/2408.15521
We propose a new framework that automatically generates high-quality segmentation masks with their referring expressions as pseudo supervisions for referring image segmentation (RIS). These pseudo supervisions allow the training of any supervised RIS
Externí odkaz:
http://arxiv.org/abs/2407.07412
Referring image segmentation (RIS) aims to find a segmentation mask given a referring expression grounded to a region of the input image. Collecting labelled datasets for this task, however, is notoriously costly and labor-intensive. To overcome this
Externí odkaz:
http://arxiv.org/abs/2303.17811