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Depth estimation models have shown promising performance on clear scenes but fail to generalize to adverse weather conditions due to illumination variations, weather particles, etc.
Early stopping-but when?
Lutz Prechelt · 2002
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Curriculum learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston · 2009
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Kinectfusion: real-time 3d reconstruction and interaction using a moving depth camera
Shahram Izadi, David Kim, Otmar Hilliges, David Molyneaux, Richard Newcombe, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Dustin Freeman, Andrew Davison, et al · 2011
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Depth map prediction from a single image using a multi-scale deep network, 2014
David Eigen, Christian Puhrsch, and Rob Fergus · 2014
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Unsupervised cnn for single view depth estimation: Geometry to the rescue, 2016
Ravi Garg, Vijay Kumar BG, Gustavo Carneiro, and Ian Reid · 2016
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Unsupervised monocular depth estimation with left-right consistency, 2017
Clément Godard, Oisin Mac Aodha, and Gabriel J. Brostow · 2017
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Unsupervised learning of depth and ego-motion from video, 2017
Tinghui Zhou, Matthew Brown, Noah Snavely, and David G. Lowe · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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De-noising of lidar point clouds corrupted by snowfall
Nicholas Charron, Stephen Phillips, and Steven Waslander · 2018
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Digging into self-supervised monocular depth estimation, 2019
Clément Godard, Oisin Mac Aodha, Michael Firman, and Gabriel Brostow · 2019
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Drivingstereo: A large-scale dataset for stereo matching in autonomous driving scenarios
Guorun Yang, Xiao Song, Chaoqin Huang, Zhidong Deng, Jianping Shi, and Bolei Zhou · 2019
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nuscenes: A multimodal dataset for autonomous driving, 2020
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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Rain rendering for evaluating and improving robustness to bad weather
Maxime Tremblay, Shirsendu Sukanta Halder, Raoul de Charette, and Jean-François Lalonde · 2020
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P 2 net: Patch-match and plane-regularization for unsupervised indoor depth estimation
Zehao Yu, Lei Jin, and Shenghua Gao · 2020
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All snow removed: Single image desnowing algorithm using hierarchical dual-tree complex wavelet representation and contradict channel loss
Wei-Ting Chen, Hao-Yu Fang, Cheng-Lin Hsieh, Cheng-Che Tsai, I Chen, Jian-Jiun Ding, Sy-Yen Kuo, et al · 2021
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The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
Jamie Watson, Oisin Mac Aodha, Victor Prisacariu, Gabriel Brostow, and Michael Firman · 2021
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Self-supervised deep monocular depth estimation with ambiguity boosting
Juan Luis Gonzalez Bello and Munchurl Kim · 2022
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A survey on curriculum learning
Xin Wang, Yudong Chen, and Wenwu Zhu · 2022
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Unsupervised monocular depth estimation in highly complex environments, 2022
Chaoqiang Zhao, Yang Tang, and Qiyu Sun · 2022
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MonoViT: Self-supervised monocular depth estimation with a vision transformer
Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, and Stefano Mattoccia · 2022
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Robust monocular depth estimation under challenging conditions
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Task-driven deep image enhancement network for autonomous driving in bad weather, 2021
Younkwan Lee, Jihyo Jeon, Yeongmin Ko, Byunggwan Jeon, and Moongu Jeon · 2021
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Self-supervised monocular depth estimation for all day images using domain separation, 2021
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Excavating the potential capacity of self-supervised monocular depth estimation, 2021
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Canadian adverse driving conditions dataset
Matthew Pitropov, Danson Evan Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, and Steven Waslander · 2021
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Single image depth prediction with wavelet decomposition
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Acdc: The adverse conditions dataset with correspondences for semantic driving scene understanding
Christos Sakaridis, Dengxin Dai, and Luc Van Gool · 2021
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The robodepth challenge: Methods and advancements towards robust depth estimation, 2023
Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, and Jingze Yu · 2023
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Perception and sensing for autonomous vehicles under adverse weather conditions: A survey
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