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Multi streams with dynamic balancing-based Conditional Generative Adversarial Network for paired image generation., и . Knowl. Based Syst., (2022)RGBD deep multi-scale network for background subtraction., , , , , и . Int. J. Multim. Inf. Retr., 11 (3): 395-407 (2022)Temporal Semantics Auto-Encoding based Moving Objects Detection in Urban Driving Scenario., , и . IV, стр. 1352-1358. IEEE, (2021)Tensor based completion meets adversarial learning: A win-win solution for change detection on unseen videos., , , и . Comput. Vis. Image Underst., (2023)Repulsive-and-attractive local binary gradient contours: New and efficient feature descriptors for texture classification., , , , и . Inf. Sci., (2018)DLL-GAN: Degradation-level-based learnable adversarial loss for image enhancement., , , и . Expert Syst. Appl., 237 (Part C): 121666 (марта 2024)A comprehensive comparative study of handcrafted methods for face recognition LBP-like and non LBP operators., , , и . Multim. Tools Appl., 79 (1-2): 375-413 (2020)A two-stream conditional generative adversarial network for improving semantic predictions in urban driving scenes., , , и . Eng. Appl. Artif. Intell., (2024)EigenGAN: An SVD subspace-based learning for image generation using Conditional GAN., , , и . Knowl. Based Syst., (2024)Mixed neighborhood topology cross decoded patterns for image-based face recognition., , , и . Expert Syst. Appl., (2018)