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Ranking on Cross-Domain Manifold for Sketch-Based 3D Model Retrieval.

, и . CW, стр. 274-281. IEEE Computer Society, (2013)

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Noritsuna Furuya

 

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DeepDiffusion: Unsupervised Learning of Retrieval-Adapted Representations via Diffusion-Based Ranking on Latent Feature Manifold., и . IEEE Access, (2022)MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set Analysis.. CoRR, (2024)Squeezing bag-of-features for scalable and semantic 3D model retrieval., , , и . CBMI, стр. 1-6. IEEE, (2010)Extended Large Scale Sketch-Based 3D Shape Retrieval., , , , , , , , , и 4 other автор(ы). 3DOR@Eurographics, стр. 121-130. Eurographics Association, (2014)Partial Shape Queries for 3D Object Retrieval., , , , , , , , , и 18 other автор(ы). 3DOR@Eurographics, Eurographics Association, (2016)Hashing Cross-Modal Manifold for Scalable Sketch-Based 3D Model Retrieval., и . 3DV, стр. 543-550. IEEE Computer Society, (2014)Lightweight Binary Voxel Shape Features for 3D Data Matching and Retrieval., , и . BigMM, стр. 100-107. IEEE Computer Society, (2015)Query by Partially-Drawn Sketches for 3D Shape Retrieval., , и . CW, стр. 69-76. IEEE, (2019)Annotating 3D Models and Their Parts via Deep Feature Embedding., , и . ICME Workshops, стр. 489-494. IEEE, (2019)Learning part-in-whole relation of 3D shapes for part-based 3D model retrieval., и . Comput. Vis. Image Underst., (2018)