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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.

, , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 40 (4): 834-848 (2018)

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Shape grammar parsing via Reinforcement Learning., , , , and . CVPR, page 2273-2280. IEEE Computer Society, (2011)3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images., , , , , and . BMVC, page 1-10. BMVA Press, (2011)Modeling local and global deformations in Deep Learning: Epitomic convolution, Multiple Instance Learning, and sliding window detection., , and . CVPR, page 390-399. IEEE Computer Society, (2015)SHREC'10 Track: Robust Shape Retrieval., , , , , , , , , and 3 other author(s). 3DOR, page 71-78. Eurographics Association, (2010)Mass Displacement Networks., and . CoRR, (2017)Sub-cortical brain structure segmentation using F-CNN's., , , , , , and . CoRR, (2016)DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs., , , , and . CoRR, (2016)Deep, Dense, and Low-Rank Gaussian Conditional Random Fields., and . CoRR, (2016)DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild., , , , , , and . CoRR, (2018)Accelerating Deformable Part Models with Branch-and-Bound.. Perspectives in Shape Analysis, Springer, (2016)