Referring image segmentation is an advanced semantic segmentation task where target is
not a predefined class but is described in natural language. Most of existing methods for this …

Referring image segmentation aims to segment the objects referred by a natural language
expression. Previous methods usually focus on designing an implicit and recurrent feature …

Referring image segmentation aims to segment the target referent in an image conditioning
on a natural language expression. Existing one-stage methods employ per-pixel …

In this work, we address the challenging task of referring segmentation. The query
expression in referring segmentation typically indicates the target object by describing its …

Referring image segmentation aims to segment a referent via a natural linguistic expression.
Due to the distinct data properties between text and image, it is challenging for a network to …

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 …

We consider the problem of referring image segmentation. Given an input image and a
natural language expression, the goal is to segment the object referred by the language …

Recently, referring image segmentation has aroused widespread interest. Previous methods
perform the multi-modal fusion between language and vision at the decoding side of the …

Most existing methods do not explicitly formulate the mutual guidance between vision and
language. In this work, we propose a bi-directional relationship inferring network (BRINet) to …

Referring image segmentation aims to segment the referent that is the corresponding object
or stuff referred by a natural language expression in an image. Its main challenge lies in how …