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material ID: scenegraph

Related Papers

Are Scene Graphs Good Enough to Improve Image Captioning?

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractMany top-performing image captioning models rely solely on object features computed with an object detection model to generate image descriptions. However, recent studies propose to directly use scene graphs to …...

394

Diverse and Relevant Visual Storytelling with Scene Graph Embeddings

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractA problem in automatically generated stories for image sequences is that they use overly generic vocabulary and phrase structure and fail to match the distributional characteristics of human-generated text. We …...

41594

Extend, don’t rebuild: Phrasing conditional graph modification as autoregressive sequence labelling

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractDeriving and modifying graphs from natural language text has become a versatile basis technology for information extraction with applications in many subfields, such as semantic parsing or knowledge graph construction. …...

32012

LRRA:A Transparent Neural-Symbolic Reasoning Framework for Real-World Visual Question Answering

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThe predominant approach of visual question answering (VQA) relies on encoding the imageand question with a ”black box” neural encoder and decoding a single token into answers suchas ”yes” or …...

5577

Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractExisting video question answering (video QA) models lack the capacity for deep video understanding and flexible multistep reasoning. We propose for video QA a novel model which performs dynamic multistep …...

21129

Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractUnpaired cross-lingual image captioning has long suffered from irrelevancy and disfluency issues, due to the inconsistencies of the semantic scene and syntax attributes during transfer. In this work, we propose …...

38716