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Review of 3D object representation techniques for automatic object recognition., и . VCIP, том 4067 из Proceedings of SPIE, стр. 1185-1197. SPIE, (2000)Learning Distributions of Meant Color., , , и . CoRR, (2017)Deep Learning for Scene Understanding., , , , и . Handbook of Deep Learning Applications, Springer, (2019)On Decomposing an Unseen 3D Face into Neutral Face and Expression Deformations., , и . ICB, том 5558 из Lecture Notes in Computer Science, стр. 22-31. Springer, (2009)Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes., , и . IEEE Trans. Pattern Anal. Mach. Intell., 28 (10): 1584-1601 (2006)SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification., , , , , , и . Remote. Sens., 14 (17): 4288 (2022)A comparative study on optical flow for facial expression analysis., , , , и . Neurocomputing, (2022)SkeletonNet: Mining Deep Part Features for 3-D Action Recognition., , , , и . IEEE Signal Process. Lett., 24 (6): 731-735 (2017)Untrained Neural Network Priors for Inverse Imaging Problems: A Survey., , , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 45 (5): 6511-6536 (мая 2023)3D Face Recognition: Two Decades of Progress and Prospects., , , , , и . ACM Comput. Surv., 56 (3): 54:1-54:39 (марта 2024)