作者 Abstract Referring expression comprehension expects to accurately locate an object described by a language expression, which requires precise language-aware visual object representations. However, existing methods usually use rectangular object repres…
目录 论文详情
摘要
前言
CLIP
SAM PPT(Point Prompting)
Point Generator
CrossAttn
Loss Function
Curriculum Learning Strategy
Learning from Object-centric Images
Augmented Data for More Complex RIS Learning
优化过程
渐进式学习…
作者 Abstract Referring image segmentation aims to predict the foreground mask of the object referred by a natural language sentence. Multimodal context of the sentence is crucial to distinguish the referent from the background. Existing methods either ins…
作者 摘要 In this paper , we propose a novel end-to-end model, namely Single-Stage Grounding network (SSG), to localize the referent given a referring expression within an image. Different from previous multi-stage models which rely on object proposals or …