标题/作者	年份
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics A Kendall, Y Gal, R Cipolla Proceedings of the IEEE conference on computer vision and pattern …	2018
Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks Z Chen, V Badrinarayanan, CY Lee, A Rabinovich International conference on machine learning, 794-803	2018
Autonomous concrete crack detection using deep fully convolutional neural network CV Dung Automation in Construction 99, 52-58	2019
Unified perceptual parsing for scene understanding T Xiao, Y Liu, B Zhou, Y Jiang, J Sun Proceedings of the European conference on computer vision (ECCV), 418-434	2018
Gated-scnn: Gated shape cnns for semantic segmentation T Takikawa, D Acuna, V Jampani, S Fidler Proceedings of the IEEE/CVF international conference on computer vision …	2019
Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges D Feng, C Haase-Schütz, L Rosenbaum, H Hertlein, C Glaeser, F Timm, ... IEEE Transactions on Intelligent Transportation Systems 22 (3), 1341-1360	2020
Augmented reality meets computer vision: Efficient data generation for urban driving scenes H Abu Alhaija, SK Mustikovela, L Mescheder, A Geiger, C Rother International Journal of Computer Vision 126 (9), 961-972	2018
Pad-net: Multi-tasks guided prediction-and-distillation network for simultaneous depth estimation and scene parsing D Xu, W Ouyang, X Wang, N Sebe Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
Encoder–decoder network for pixel‐level road crack detection in black‐box images S Bang, S Park, H Kim, H Kim Computer‐Aided Civil and Infrastructure Engineering 34 (8), 713-727	2019
Strip pooling: Rethinking spatial pooling for scene parsing Q Hou, L Zhang, MM Cheng, J Feng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …	2020
Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal J Wang, X Li, J Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
LIDAR–camera fusion for road detection using fully convolutional neural networks L Caltagirone, M Bellone, L Svensson, M Wahde Robotics and Autonomous Systems 111, 125-131	2019
Multi-scale progressive fusion network for single image deraining K Jiang, Z Wang, P Yi, C Chen, B Huang, Y Luo, J Ma, J Jiang Proceedings of the IEEE/CVF conference on computer vision and pattern …	2020
Monogrnet: A geometric reasoning network for monocular 3d object localization Z Qin, J Wang, Y Lu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8851-8858	2019
Vlocnet++: Deep multitask learning for semantic visual localization and odometry N Radwan, A Valada, W Burgard IEEE Robotics and Automation Letters 3 (4), 4407-4414	2018
Blitznet: A real-time deep network for scene understanding N Dvornik, K Shmelkov, J Mairal, C Schmid Proceedings of the IEEE international conference on computer vision, 4154-4162	2017
Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges M Siam, S Elkerdawy, M Jagersand, S Yogamani 2017 IEEE 20th international conference on intelligent transportation …	2017
Category anchor-guided unsupervised domain adaptation for semantic segmentation Q Zhang, J Zhang, W Liu, D Tao Advances in Neural Information Processing Systems 32	2019
Multi-task learning for dense prediction tasks: A survey S Vandenhende, S Georgoulis, W Van Gansbeke, M Proesmans, D Dai, ... IEEE transactions on pattern analysis and machine intelligence	2021
Woodscape: A multi-task, multi-camera fisheye dataset for autonomous driving S Yogamani, C Hughes, J Horgan, G Sistu, P Varley, D O'Dea, M Uricár, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …	2019

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