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Ensemble approaches for deep-learning-based semantic segmentation remain insufficiently explored despite the proliferation of competitive benchmarks and downstream applications.
The strength of weak learnability
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A decision-theoretic generalization of on-line learning and an application to boosting
Yoav Freund and Robert E Schapire · 1997
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Random forests
Leo Breiman · 2001
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Paul Viola and Michael Jones · 2001
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Is combining classifiers better than selecting the best one?
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A survey of neural network ensembles
Ying Zhao, Jun Gao, and Xuezhi Yang · 2005
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Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
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Adam: A method for stochastic optimization
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The role of context for object detection and semantic segmentation in the wild
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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The pascal visual object classes challenge: A retrospective
Mark Everingham, SM Ali Eslami, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
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Multi-scale context aggregation by dilated convolutions
Fisher Yu and Vladlen Koltun · 2015
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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A learned representation for artistic style
Vincent Dumoulin, Jonathon Shlens, and Manjunath Kudlur · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Iterative instance segmentation
Ke Li, Bharath Hariharan, and Jitendra Malik · 2016
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Dynamic computation offloading for mobile-edge computing with energy harvesting devices
Yuyi Mao, Jun Zhang, and Khaled B Letaief · 2016
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An overview of gradient descent optimization algorithms
Sebastian Ruder · 2016
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High-performance semantic segmentation using very deep fully convolutional networks
Zifeng Wu, Chunhua Shen, and Anton van den Hengel · 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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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2017
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Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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Photographic image synthesis with cascaded refinement networks
Qifeng Chen and Vladlen Koltun · 2017
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Exploring the structure of a real-time, arbitrary neural artistic stylization network
Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, and Jonathon Shlens · 2017
Domain randomization for scene-specific car detection and pose estimation
Rawal Khirodkar, Donghyun Yoo, and Kris Kitani · 2019
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Shapemask: Learning to segment novel objects by refining shape priors
Weicheng Kuo, Anelia Angelova, Jitendra Malik, and Tsung-Yi Lin · 2019
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Posefix: Model-agnostic general human pose refinement network
Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee · 2019
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High-resolution representations for labeling pixels and regions
Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, and Jingdong Wang · 2019
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Gated-scnn: Gated shape cnns for semantic segmentation
Towaki Takikawa, David Acuna, Varun Jampani, and Sanja Fidler · 2019
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Detect, replace, refine: Deep structured prediction for pixel wise labeling
Spyros Gidaris and Nikos Komodakis · 2017
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Snapshot ensembles: Train 1, get m for free
Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E Hopcroft, and Kilian Q Weinberger · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Label refinement network for coarse-to-fine semantic segmentation
Md Amirul Islam, Shujon Naha, Mrigank Rochan, Neil Bruce, and Yang Wang · 2017
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Dynamic layer normalization for adaptive neural acoustic modeling in speech recognition
Taesup Kim, Inchul Song, and Yoshua Bengio · 2017
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Simple and scalable predictive uncertainty estimation using deep ensembles
Balaji Lakshminarayanan, Alexander Pritzel, and Charles Blundell · 2017
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Refinenet: Multi-path refinement networks for high-resolution semantic segmentation
Guosheng Lin, Anton Milan, Chunhua Shen, and Ian Reid · 2017
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Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 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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Semantic understanding of scenes through the ade20k dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Tete Xiao, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2019
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Probabilistic semantic segmentation refinement by monte carlo region growing
Philipe A Dias and Henry Medeiros · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Deep ensembles: A loss landscape perspective
Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan · 2020
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Early vs late fusion in multimodal convolutional neural networks
Konrad Gadzicki, Razieh Khamsehashari, and Christoph Zetzsche · 2020
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A survey of loss functions for semantic segmentation
Shruti Jadon · 2020
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Learning dynamic routing for semantic segmentation
Yanwei Li, Lin Song, Yukang Chen, Zeming Li, Xiangyu Zhang, Xingang Wang, and Jian Sun · 2020
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Axial-deeplab: Stand-alone axial-attention for panoptic segmentation
Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan Yuille, and Liang-Chieh Chen · 2020
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Deep high-resolution representation learning for visual recognition
Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, et al · 2020
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On the surprising efficiency of committee-based models
Xiaofang Wang, Dan Kondratyuk, Eric Christiansen, Kris M Kitani, Yair Movshovitz-Attias, and Elad Eban · 2020
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Batchensemble: an alternative approach to efficient ensemble and lifelong learning
Yeming Wen, Dustin Tran, and Jimmy Ba · 2020
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Hyperparameter ensembles for robustness and uncertainty quantification
Florian Wenzel, Jasper Snoek, Dustin Tran, and Rodolphe Jenatton · 2020
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Object-contextual representations for semantic segmentation
Yuhui Yuan, Xilin Chen, and Jingdong Wang · 2020
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Segfix: Model-agnostic boundary refinement for segmentation
Yuhui Yuan, Jingyi Xie, Xilin Chen, and Jingdong Wang · 2020
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Repose: Fast 6d object pose refinement via deep texture rendering
Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, and Kris M Kitani · 2021
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Multi-hypothesis pose networks: Rethinking top-down pose estimation
Rawal Khirodkar, Visesh Chari, Amit Agrawal, and Ambrish Tyagi · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Segformer: Simple and efficient design for semantic segmentation with transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M Alvarez, and Ping Luo · 2021
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Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers
Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip HS Torr, et al · 2021
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Occluded human mesh recovery
Rawal Khirodkar, Shashank Tripathi, and Kris Kitani · 2022
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