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A comparison of methods for sketch-based 3D shape retrieval.

, , , , , , , , , , , , и . Comput. Vis. Image Underst., (2014)

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José Martin Saavedra

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Bärbel Saavedra

Angélica Saavedra

Franz Goecke Saavedra

 

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Sketch-based image retrieval using keyshapes., и . Multim. Tools Appl., 73 (3): 2033-2062 (2014)Sketch-QNet: A Quadruplet ConvNet for Color Sketch-Based Image Retrieval., и . CVPR Workshops, стр. 2134-2141. Computer Vision Foundation / IEEE, (2021)Pattern Spotting in Historical Documents Using Convolutional Models., , , , и . HIP@ICDAR, стр. 60-65. ACM, (2019)NL-FCOS: Improving FCOS through Non-Local Modules for Object Detection., и . ICPR, стр. 4651-4657. IEEE, (2022)A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition., , , , , и . CoRR, (2020)VETE: improving visual embeddings through text descriptions for eCommerce search engines., , и . Multim. Tools Appl., 82 (26): 41343-41379 (ноября 2023)RST-SHELO: sketch-based image retrieval using sketch tokens and square root normalization.. Multim. Tools Appl., 76 (1): 931-951 (2017)Handwritten Digit Recognition Based on Pooling SVM-Classifiers Using Orientation and Concavity Based Features.. CIARP, том 8827 из Lecture Notes in Computer Science, стр. 658-665. Springer, (2014)A comprehensive comparison of end-to-end approaches for handwritten digit string recognition., , , , , и . Expert Syst. Appl., (2021)ORAND at TRECVID 2014: Instance Search and Multimedia Event Detection., , , и . TRECVID, National Institute of Standards and Technology (NIST), (2014)