Acknowledgement
본 논문은 딥러닝 기반 야지환경 영상인식 기술 연구의 일환으로 한화디펜스의 지원을 받아 수행된 연구입니다.
References
- Cordts M, Omran M, Ramos S, Rehfeld T, Enzweiler M, Benenson R, Franke U, Roth S and Schiele B, "The Cityscapes Dataset for Semantic Urban Scene Understanding," In: Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2016.
- Geiger A, Lenz P and Urtasun R, "Are we ready for Autonomous Driving? the Kitti Vision Benchmark Suite," In: Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2012.
- A. Valada, G. Oliveira, T. Brox, and W. Burgard, "Deep Multispectral Semantic Scene Understanding of Forested Environments using Multimodal Fusion," in International Symposium on Experimental Robotics (ISER), 2016.
- P. Jiang, P. Osteen, M. Wigness, and S. Saripalli, "Rellis-3d Dataset: Data, Benchmarks and Analysis," arXiv, 2020.
- A. Valada, G. Oliveira, T. Brox, and W. Burgard, "Deep Multispectral Semantic Scene Understanding of Forested Environments using Multimodal Fusion," in International Symposium on Experimental Robotics (ISER), 2016.
- K. A. Metzger, P. Mortimer, and H.-J. Wuensche, "A Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarios," in International Conference on Pattern Recognition (ICPR), Milano, Italy, Jan. 2021.
- C. Yu, J. Wang et al., "BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation," in European Conference on Computer Vision(ECCV), 2018.
- C. Yu, C. Gao, J. Wang, G. Yu, C. Shen, and N. Sang, "Bisenetv2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation," arXiv, 2020.
- He K, Zhang X, Ren S and Sun J, "Deep Residual Learning for Image Recognition," In: Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2016.
- Howard AG, Zhu M, Chen B, Kalenichenko D, Wang W, Weyand T, Andreetto M and Adam H, "Mobilenets: Efficient Convolutional Neural Networks for Mobile Vision Applications," arXiv, 2017.
- Li G, Yun I, Kim J, and Kim J, "Dabnet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation," In: Proc. British Machine Vision Conference(BMVC), 2019.
- Long J, Shelhamer E, Darrel T, "Fully Convolutional Networks for Semantic Segmentation," In: Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2015.
- Ronneberger O, Fischer P, Brox T, "U-net: Convolutional Networks for Biomedical Image Segmentation," In: Proc. International Conference on Medical Image Computing and Computer-Assisted Intervention(MICCAI), 2015.
- Yu C, Wang J, Peng C, Gao C, Yu G, Sang N, "Learning a Discriminative Feature Network for Semantic Segmentation," In: Proc. IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018.
- Wang J, Sun K, Cheng T, Jiang B, Deng C, Zhao Y, Liu D, Mu Y, Tan M, Wang X, Liu W, Xiao B, "Deep High-resolution Representation Learning for Visual Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2019.