Dual Convolutional LSTM Network for Referring Image Segmentation
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DOI: 10.1109/tmm.2020.2971171
Abstract: We consider referring image segmentation. It is a problem at the intersection of computer vision and natural language understanding. Given an input image and a referring expression in the form of a natural language sentence,… read more here.
Keywords: image segmentation; referring image; image; dual convolutional ... See more keywords
Structured Attention Network for Referring Image Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3074008
Abstract: Referring image segmentation aims at segmenting out the object or stuff referred to by a natural language expression. The challenge of this task lies in the requirement of understanding both vision and language. The linguistic… read more here.
Keywords: attention network; referring image; image segmentation; structured attention ... See more keywords
Learning From Box Annotations for Referring Image Segmentation.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3201372
Abstract: Referring image segmentation (RIS) has obtained an impressive achievement by fully convolutional networks (FCNs). However, previous RIS methods require a large number of pixel-level annotations. In this article, we present a weakly supervised RIS method… read more here.
Keywords: referring image; image segmentation; box annotations; learning box ... See more keywords