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Differentiable bit-rate estimation for neural-based video codec enhancement.

, , и . CoRR, (2023)

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A Radon Transform Based Approach for Extraction of Blood Vessels in Conjunctival Images., , , и . MICAI, том 5317 из Lecture Notes in Computer Science, стр. 948-956. Springer, (2008)Adversarial Distortion for Learned Video Compression., , , и . CVPR Workshops, стр. 640-644. Computer Vision Foundation / IEEE, (2020)Optimized Learned Entropy Coding Parameters for Practical Neural-Based Image and Video Compression., , и . ICIP, стр. 661-665. IEEE, (2022)Segmentation of blood vessels in fundus color images by Radon transform and morphological reconstruction., , и . IWACI, стр. 522-526. IEEE, (2010)Optimized learned entropy coding parameters for practical neural-based image and video compression., , и . CoRR, (2023)Boosting neural video codecs by exploiting hierarchical redundancy., , , , и . CoRR, (2022)Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set., , , , , и . Trans. Mach. Learn. Res., (2023)Parallelized Rate-Distortion Optimized Quantization Using Deep Learning., , , , и . MMSP, стр. 1-6. IEEE, (2020)Look, Remember and Reason: Grounded Reasoning in Videos with Language Models., , , , , и . ICLR, OpenReview.net, (2024)Differentiable bit-rate estimation for neural-based video codec enhancement., , и . CoRR, (2023)