1. Long, J., Shelhamer, E., Darrell, T.: Fully convolutional models for semantic segmentation. In: Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015)
2. Badrinarayanan, V., Kendall, A., Cipolla, R.: SegNet: A deep convolutional encoder-decoder architecture for image segmentation. arXiv:1511.00561 [cs.CV] (2015)
3. Paszke, A., Chaurasia, A., Kim, S., Culurciello, E.: ENet: a deep neural network architecture for real-time semantic segmentation. arXiv:1606.02147 [cs.CV] (2016)
4. Couprie, C., Farabet, C., Najman, L., LeCun, Y.: Indoor semantic segmentation using depth information. arXiv:1301.3572 [cs.CV] (2013)
5. Gupta, S., Girshick, R., Arbeláez, P., Malik, J.: Learning rich features from RGB-D images for object detection and segmentation. In: Proceedings European Conference on Computer Vision (ECCV) (2014)