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A Review on Deep Learning Techniques Applied to Semantic Segmentation

, , , , and . (2017)cite arxiv:1704.06857Comment: Submitted to TPAMI on Apr. 22, 2017.

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When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)., , , , , and . CoRR, (2020)A Review on Deep Learning Techniques for Video Prediction., , , , , , and . CoRR, (2020)A Review on Deep Learning Techniques Applied to Semantic Segmentation, , , , and . (2017)cite arxiv:1704.06857Comment: Submitted to TPAMI on Apr. 22, 2017.UnrealROX: an extremely photorealistic virtual reality environment for robotics simulations and synthetic data generation., , , , , and . Virtual Real., 24 (2): 271-288 (2020)A study of the effect of noise and occlusion on the accuracy of convolutional neural networks applied to 3D object recognition., , , , , and . Comput. Vis. Image Underst., (2017)UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments., , , , , , and . IJCNN, page 1-8. IEEE, (2021)Graph Convolutional Neural Networks-based 3D Hand Pose Estimation over Point Clouds., , , , , and . IJCNN, page 1-6. IEEE, (2021)Interaction Estimation in Egocentric Videos via Simultaneous Hand-Object Recognition., , , , and . SOCO, volume 1401 of Advances in Intelligent Systems and Computing, page 439-448. Springer, (2021)3D Hand Joints Position Estimation with Graph Convolutional Networks: A GraphHands Baseline., , , , and . ROBOT (2), volume 1093 of Advances in Intelligent Systems and Computing, page 551-562. Springer, (2019)Multi-sensor 3D object dataset for object recognition with full pose estimation., , , , , , and . Neural Comput. Appl., 28 (5): 941-952 (2017)