In this work, we propose a 3D shape retrieval framework, named the Neighbor-Center Enhanced Network (NCENet), to enhance the discrimination of each 2D view ...
In this paper, we propose a convolutional neural network based method, CenterNet, to enhance each individual 2D view using its neighboring ones. By exploiting ...
Considering that objects are often occluded in cluttered. 3D scenes, we simulate this occlusion in the OpenGL pro- jection process to evaluate the robust ...
Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval · List of references · Publications that cite this publication.
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Multi-view shape descriptors obtained from various 2D images are commonly adopted in 3D shape retrieval. 3D Shape Classification · 3D Shape Retrieval +1.
Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval. C. Xu, Z. Li, Q. Qiu, B. Leng, and J. Jiang. ICCV, page 3731-3739. IEEE, (2019 ).
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This paper presents ViewFormer, a simple yet effective model for multi-view 3d shape recognition and retrieval.
Enhancing 2D representation via adjacent views for 3D shape retrieval. C Xu, Z Li, Q Qiu, B Leng, J Jiang. Proceedings of the IEEE/CVF International Conference ...
Jun 4, 2024 · We propose a new approach for strengthening existing self-supervised methods by explicitly enforcing a strong 3D structural prior directly into the model ...
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