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We present a novel task for cross-dataset visual grounding in 3D scenes (Cross3DVG), which overcomes limitations of existing 3D visual grounding models, specifically their restricted 3D resources and consequent tendencies of overfitting a specific 3D dataset.
Empirical evaluation of gated recurrent neural networks on sequence modeling
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Matterport3D: Learning from RGB-D data in indoor environments
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
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Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Attention is all you need
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Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video
Zhenfang Chen, Lin Ma, Wenhan Luo, and Kwan-Yee Kenneth Wong · 2019
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Cecilia Mauceri, Martha Palmer, and Christoffer Heckman · 2019
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Deep hough voting for 3d object detection in point clouds
Charles R. Qi, Or Litany, Kaiming He, and Leonidas J. Guibas · 2019
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ReferIt3D: Neural listeners for fine-grained 3d object identification in real-world scenes
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Transrefer3d: Entity-and-relation aware transformer for fine-grained 3d visual grounding
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Text-guided graph neural networks for referring 3d instance segmentation
Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen, and Tyng-Luh Liu · 2021
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Bottom up top down detection transformers for language grounding in images and point clouds
Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, and Katerina Fragkiadaki · 2022
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3d-sps: Single-stage 3d visual grounding via referred point progressive selection
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Sqa3d: Situated question answering in 3d scenes
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Languagerefer: Spatial-language model for 3d visual grounding
Junha Roh, Karthik Desingh, Ali Farhadi, and Dieter Fox · 2022
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Language-grounded indoor 3d semantic segmentation in the wild
David Rozenberszki, Or Litany, and Angela Dai · 2022
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Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, and Nicolas Carion · 2021
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Refer-it-in-rgbd: A bottom-up approach for 3d visual grounding in rgbd images
Haolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, and Shuguang Cui · 2021
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An End-to-End Transformer Model for 3D Object Detection
Ishan Misra, Rohit Girdhar, and Armand Joulin · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Instancerefer: Cooperative holistic understanding for visual grounding on point clouds through instance multi-level contextual referring
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Domain-robust vqa with diverse datasets and methods but no target labels
Mingda Zhang, Tristan Maidment, Ahmad Diab, Adriana Kovashka, and Rebecca Hwa · 2021
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Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, and Motoaki Kawanabe · 2022
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Mask3D for 3D Semantic Instance Segmentation
Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, and Bastian Leibe · 2022
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ReCLIP: A strong zero-shot baseline for referring expression comprehension
Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, and Anna Rohrbach · 2022
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Softgroup for 3d instance segmentation on 3d point clouds
Thang Vu, Kookhoi Kim, Tung M. Luu, Xuan Thanh Nguyen, and Chang D. Yoo · 2022
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End-to-end 3d dense captioning with vote2cap-detr
Sijin Chen, Hongyuan Zhu, Xin Chen, Yinjie Lei, Gang Yu, and Tao Chen · 2023
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Distilling coarse-to-fine semantic matching knowledge for weakly supervised 3d visual grounding, 2023
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Yanmin Wu, Xinhua Cheng, Renrui Zhang, Zesen Cheng, and Jian Zhang · 2023
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Scanents3d: Exploiting phrase-to-3d-object correspondences for improved visio-linguistic models in 3d scenes
Ahmed Abdelreheem, Kyle Olszewski, Hsin-Ying Lee, Peter Wonka, and Panos Achlioptas · 2024
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