Modeling Collaborative Referring for Situated Referential Grounding
Code (0)
등록된 구현이 없습니다.
Tasks
Graph MatchingSimilar Papers 제목 키워드 기반
Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding
Weakly supervised referring expression grounding aims at localizing the referential object in an image according to the linguistic query, where the mapping between the referential object and query is unknown in the train…
AttributeReferring ExpressionRegion ProposalCollecting Visually-Grounded Dialogue with A Game Of Sorts
An idealized, though simplistic, view of the referring expression production and grounding process in (situated) dialogue assumes that a speaker must merely appropriately specify their expression so that the target refer…
Coreference ResolutionImage RetrievalReferring ExpressionReferring Expression Comprehension+4OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling
Constrained by the separate encoding of vision and language, existing grounding and referring segmentation works heavily rely on bulky Transformer-based fusion en-/decoders and a variety of early-stage interaction techno…
Language ModelingLanguage ModellingUsing Lexical Alignment and Referring Ability to Address Data Sparsity in Situated Dialog Reference Resolution
Referring to entities in situated dialog is a collaborative process, whereby interlocutors often expand, repair and/or replace referring expressions in an iterative process, converging on conceptual pacts of referring la…
Referring ExpressionEntity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding
Weakly supervised Referring Expression Grounding (REG) aims to ground a particular target in an image described by a language expression while lacking the correspondence between target and expression. Two main problems e…
AttributeReferring ExpressionSemantic SimilaritySemantic Textual Similarity