Lgvc: language-guided visual context modeling for 3D visual grounding-Reference-Cited by-同舟云学术

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Lgvc: language-guided visual context modeling for 3D visual grounding

Published:2024-04-23 Issue:21 Volume:36 Page:12977-12990
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Geng Liang,Yin Jianqin,Niu Yingchun

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Tianjin Municipal Science and Technology Commission

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00521-024-09764-1.pdf

Reference56 articles.

1. Plummer BA, Wang L, Cervantes CM, Caicedo JC, Hockenmaier J, Lazebnik S (2017) Flickr30k entities: collecting region-to-phrase correspondences for richer image-to-sentence models. Int J Comput Vis 123(1):74–93

2. Kazemzadeh S, Ordonez V, Matten M, Berg T (2014) Referitgame: referring to objects in photographs of natural scenes. In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), pp 787–798

3. Yu L, Poirson P, Yang S, Berg AC, Berg TL (2016) Modeling context in referring expressions. In: European conference on computer vision, pp 69–85. Springer

4. Yang Z, Gong B, Wang L, Huang W, Yu D, Luo J (2019) A fast and accurate one-stage approach to visual grounding. In: ICCV, pp 4683–4693

5. Wang P, Wu Q, Cao J, Shen C, Gao L, Hengel van den A (2019) Neighbourhood watch: referring expression comprehension via language-guided graph attention networks. In: CVPR, pp 1960–1968

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