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Learned Image Coding for Machines: A Content-Adaptive Approach.

, , , , , и . ICME, стр. 1-6. IEEE, (2021)

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Le Hong Nam

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Energy-Efficient Resource Allocation for OFDMA Heterogeneous Networks., , , и . IEEE Trans. Commun., 67 (10): 7043-7057 (2019)Knowledge graph embedding by relational rotation and complex convolution for link prediction., , и . Expert Syst. Appl., (2023)NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines., , , , , , , и . CoRR, (2024)Stabilizing the Convolution Operations for Neural Network-Based Image and Video Codecs for Machines., , , , и . ICME Workshops, стр. 170-175. IEEE, (2023)NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines., , , , , , , и . ISM, стр. 10-19. IEEE, (2023)Theoretical Guarantees of Deep Embedding Losses Under Label Noise., и . CoRR, (2018)Image Coding For Machines: an End-To-End Learned Approach., , , , и . ICASSP, стр. 1590-1594. IEEE, (2021)Region of Interest Enabled Learned Image Coding for Machines., , , , и . MMSP, стр. 1-6. IEEE, (2023)EUMSSI Team at the MediaEval Person Discovery Challenge 2016., , и . MediaEval, том 1739 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)Adaptive Advantage of Learning Strategies: A Study Through Dynamic Landscape., , и . PPSN (2), том 11102 из Lecture Notes in Computer Science, стр. 387-398. Springer, (2018)