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CONVCRFS: CONVOLUTIONAL CRFS FOR SEMANTIC SEGMENTATION 1…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2019-BMVC-Convolutional-CRF.pdf12 Aug 2019: The CNN is trained for 200 epochs using a batch size of 16 and the adam optimizer [16].The initial learning rate is set to 5105 and polynomially decreased [7, 24] ... Springer, 2014. [24] Wei Liu, Andrew Rabinovich, and Alexander C Berg. -
Orientation-Aware Semantic Segmentation on Icosahedron Spheres Chao…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2019-ICCV-Segmentation-Icosahedron.pdf12 Aug 2019: pedestrian” and“cyclist”) which we attribute to unbalanced dataset. Futurework will incorporate better architectures such as [30, 24]for improved segmentation of small objects. ... In CVPR’16, pages 3234–3243, 2016. [24] Mark Sandler, Andrew -
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2018-CVPR-multi-task-learning.pdf11 Sep 2019: toward feature space analysis. IEEE Transactions on pattern. analysis and machine intelligence, 24(5):603–619, 2002. ... ference on, pages 7304–7308. IEEE, 2013. 1. [24] A. Kendall and Y. -
RODDICK, KENDALL, CIPOLLA: ORTHOGRAPHIC FEATURE TRANSFORM 1…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2019-BMVC-Orthographic-Feature-Transform.pdf12 Aug 2019: Other workswhich explore the idea of dense 3D proposals in the world space are 3DOP [3] and Phamand Jeon [24], which rely on explicit estimates of depth using stereo geometry. ... Master’sthesis, Czech Technical University in Prague, 2017. [24] Cuong -
RODDICK, KENDALL, CIPOLLA: ORTHOGRAPHIC FEATURE TRANSFORM 1…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2019-BMVC-Orthographic-Feature-Transform.pdf12 Aug 2019: Other workswhich explore the idea of dense 3D proposals in the world space are 3DOP [3] and Phamand Jeon [24], which rely on explicit estimates of depth using stereo geometry. ... Master’sthesis, Czech Technical University in Prague, 2017. [24] Cuong
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