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When designing a semantic segmentation module for a practical application, such as autonomous driving, it is crucial to understand the robustness of the module with respect to a wide range of image corruptions.
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Deep Learning
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Deep Residual Learning for Image Recognition
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ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
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You Only Look Once: Unified, Real-Time Object Detection
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On the Robustness of Semantic Segmentation Models to Adversarial Attacks
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Examining the Impact of Blur on Recognition by Convolutional Networks
Igor Vasiljevic, Ayan Chakrabarti, and Gregory Shakhnarovich · 2016
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Multi-Scale Context Aggregation by Dilated Convolutions
Fisher Yu and Vladlen Koltun · 2016
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Improving the Robustness of Deep Neural Networks via Stability Training
Stephan Zheng, Yang Song, Thomas Leung, and Ian J. Goodfellow · 2016
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Semantic understanding of scenes through the ade20k dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Tete Xiao, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2016
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla · 2017
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DeepCorrect: Correcting DNN models against Image Distortions
Tejas S. Borkar and Lina J. Karam · 2017
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Why do deep convolutional networks generalize so poorly to small image transformations?
Aharon Azulay and Yair Weiss · 2018
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Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, and Jonathon Shlens · 2018
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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam · 2018
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Domain adaptive faster r-cnn for object detection in the wild
Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, and Luc Van Gool · 2018
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Intriguing Properties of Adversarial Examples
Ekin Dogus Cubuk, Barret Zoph, Samuel Stern Schoenholz, and Quoc V. Le · 2018
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Dark model adaptation: Semantic image segmentation from daytime to nighttime
Dengxin Dai and Luc Van Gool · 2018
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Generalisation in humans and deep neural networks
Robert Geirhos, Carlos R. Medina Temme, Jonas Rauber, Heiko H. Schütt, Matthias Bethge, and Felix A. Wichmann · 2018
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Visual Quality Enhancement Of Images Under Adverse Weather Conditions
Jashojit Mukherjee, K Praveen, and Venugopala Madumbu · 2018
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Efficient neural architecture search via parameter sharing
Hieu Pham, Melody Y Guan, Barret Zoph, Quoc V Le, and Jeff Dean · 2018
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Semantic foggy scene understanding with synthetic data
Christos Sakaridis, Dengxin Dai, and Luc Van Gool · 2018
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
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Feature Quantization for Defending Against Distortion of Images
Zhun Sun, Mete Ozay, Yan Zhang, Xing Liu, and Takayuki Okatani · 2018
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ICNet for Real-Time Semantic Segmentation on High-Resolution Images
Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, and Jiaya Jia · 2018
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Learning transferable architectures for scalable image recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V Le · 2018
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Learning to Remove Rain in Traffic Surveillance by Using Synthetic Data
Chris H Bahnsen, David Vázquez, Antonio M López, and Thomas B Moeslund · 2019
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CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
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ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
R. Geirhos, P. Rubisch, C. Michaelis, M. Bethge, F. A. Wichmann, and W. Brendel · 2019
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Adversarial Examples Are a Natural Consequence of Test Error in Noise
Justin Gilmer, Nicolas Ford, Nicholas Carlini, and Ekin Cubuk · 2019
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Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks and Thomas Dietterich · 2019
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Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
C. Michaelis, B. Mitzkus, R. Geirhos, E. Rusak, O. Bringmann, A. S. Ecker, M. Bethge, and W. Brendel · 2019
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Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation
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Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
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Towards Robust CNN-Based Object Detection through Augmentation with Synthetic Rain Variations
Georg Volk, Mueller Stefan, Alexander von Bernuth, Dennis Hospach, and Oliver Bringmann · 2019
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Wider or deeper: Revisiting the resnet model for visual recognition
Zifeng Wu, Chunhua Shen, and Anton Van Den Hengel · 2019
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