Corpus ID: 237260210

Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries

@inproceedings{Dong2021VisualRD,
  title={Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries},
  author={Qi Dong and Zhuowen Tu and Haofu Liao and Yuting Zhang and Vijay Mahadevan and Stefano Soatto},
  year={2021}
}
Computer vision applications such as visual relationship detection and human object interaction can be formulated as a composite (structured) set detection problem in which both the parts (subject, object, and predicate) and the sum (triplet as a whole) are to be detected in a hierarchical fashion. In this paper, we present a new approach, denoted Partand-Sum detection Transformer (PST), to perform end-toend visual composite set detection. Different from existing Transformers in which queries… Expand

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