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12 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.

12 Aug 2019: Additional realistic ef-fects such as ambient light ([24]) can also be included in theproposed model. ... 2. [24] Fotios Logothetis, Roberto Mecca, Yvain Quéau, andRoberto Cipolla. Near-field photometric stereo in ambientlight.

12 Aug 2019: 1.1 ContributionsCurrently, semantic segmentation is typically addressed by a DCNN [2, 18, 24, 30]. ... arXiv:1801.04381 [cs], 2018. [24] E. Shelhamer, J. Long, and T. Darrell.

12 Aug 2019: The learning rate was decayedby 5% every 10k iterations. Training until convergence took 24 hours on a NvidiaTitan X GPU. ... In: Computer Vision and Pattern Regognition (CVPR). (2018). 24. Wiles, O., Zisserman, A.: Silnet : Single- and multi-view

12 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

11 Sep 2019: We conclude in Section 6. 2 LITERATURE REVIEW. Semantic pixel-wise segmentation is an active topic ofresearch, fuelled by challenging datasets [20], [21], [22], [24],[25]. ... In more recent work [24], both class segmentationand support relationships are

11 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.

12 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.

12 Aug 2019: Additional realistic ef-fects such as ambient light ([24]) can also be included in theproposed model. ... 2. [24] Fotios Logothetis, Roberto Mecca, Yvain Quéau, andRoberto Cipolla. Near-field photometric stereo in ambientlight.

12 Aug 2019: The learning rate was decayedby 5% every 10k iterations. Training until convergence took 24 hours on a NvidiaTitan X GPU. ... In: Computer Vision and Pattern Regognition (CVPR). (2018). 24. Wiles, O., Zisserman, A.: Silnet : Single- and multi-view