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LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image.

, , , , , , and . ICCV, page 21438. IEEE, (2023)

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D-CAT: A distributed channel allocation strategy based on a threshold scheme for cellular mobile networks., , and . SPAA, page 308-309. ACM, (2001)Single depth image super-resolution and denoising based on sparse graphs via structure tensor., , , and . ICIP, page 4063-4067. IEEE, (2017)Light Field Editing Based on Reparameterization., , , , , , and . PCM (1), volume 9314 of Lecture Notes in Computer Science, page 601-610. Springer, (2015)Fast, Robust, and Accurate Image Denoising via Very Deeply Cascaded Residual Networks., , , , and . MMSP, page 1-6. IEEE, (2018)Side information generation with auto regressive model for low-delay distributed video coding., , , , , and . J. Vis. Commun. Image Represent., 23 (1): 229-236 (2012)Efficient resource assignment in mobile edge computing: A dynamic congestion-aware offloading approach., , , and . J. Netw. Comput. Appl., (2019)Low bit-rate image coding via interpolation oriented adaptive down-sampling., , , , and . VCIP, volume 7744 of SPIE Proceedings, page 77441C. SPIE, (2010)Precise No-Reference Image Quality Evaluation Based on Distortion Identification., , , , , and . ACM Trans. Multim. Comput. Commun. Appl., 17 (3s): 110:1-110:21 (2021)Interpolation-Dependent Image Downsampling., , , , and . IEEE Trans. Image Processing, 20 (11): 3291-3296 (2011)Fast and Accurate Image Denoising via a Deep Convolutional-Pairs Network., , , , , , and . PCM (1), volume 9916 of Lecture Notes in Computer Science, page 191-200. Springer, (2016)