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Current Knowledge Distillation (KD) methods for semantic segmentation often guide the student to mimic the teacher's structured information generated from individual data samples.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Segmentation and recognition using structure from motion point clouds
Gabriel J Brostow, Jamie Shotton, Julien Fauqueur, and Roberto Cipolla · 2008
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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Semantic contours from inverse detectors
Bharath Hariharan, Pablo Arbeláez, Lubomir Bourdev, Subhransu Maji, and Jitendra Malik · 2011
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Fitnets: Hints for thin deep nets
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, and Yoshua Bengio · 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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Enet: A deep neural network architecture for real-time semantic segmentation
Adam Paszke, Abhishek Chaurasia, Sangpil Kim, and Eugenio Culurciello · 2016
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Quantized convolutional neural networks for mobile devices
Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, and Jian Cheng · 2016
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Sergey Zagoruyko and Nikos Komodakis · 2016
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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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Mimicking very efficient network for object detection
Quanquan Li, Shengying Jin, and Junjie Yan · 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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Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
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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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Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation
Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda Shapiro, and Hannaneh Hajishirzi · 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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Unsupervised feature learning via non-parametric instance discrimination
Zhirong Wu, Yuanjun Xiong, Stella X Yu, and Dahua Lin · 2018
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Improving fast segmentation with teacher-student learning
Jiafeng Xie, Bing Shuai, Jian-Fang Hu, Jingyang Lin, and Wei-Shi Zheng · 2018
Cited alongside, same era.
Efficient semantic video segmentation with per-frame inference
Yifan Liu, Chunhua Shen, Changqian Yu, and Jingdong Wang · 2020
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Structured knowledge distillation for dense prediction
Yifan Liu, Changyong Shu, Jingdong Wang, and Chunhua Shen · 2020
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Contrastive multiview coding
Yonglong Tian, Dilip Krishnan, and Phillip Isola · 2020
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Cross-batch memory for embedding learning
Xun Wang, Haozhi Zhang, Weilin Huang, and Matthew R Scott · 2020
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Intra-class feature variation distillation for semantic segmentation
Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, and Yongchao Xu · 2020
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Gated convolutional networks with hybrid connectivity for image classification
Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, and Yongjun Xu · 2020
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Bisenet: Bilateral segmentation network for real-time semantic segmentation
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, and Nong Sang · 2018
Cited alongside, same era.
Shufflenet: An extremely efficient convolutional neural network for mobile devices
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, and Jian Sun · 2018
Cited alongside, same era.
Icnet for real-time semantic segmentation on high-resolution images
Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, and Jiaya Jia · 2018
Cited alongside, same era.
Knowledge adaptation for efficient semantic segmentation
Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, and Youliang Yan · 2019
Cited alongside, same era.
A comprehensive overhaul of feature distillation
Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, and Jin Young Choi · 2019
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Structured knowledge distillation for semantic segmentation
Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, and Jingdong Wang · 2019
Cited alongside, same era.
Relational knowledge distillation
Wonpyo Park, Dongju Kim, Yan Lu, and Minsu Cho · 2019
Cited alongside, same era.
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Object-contextual representations for semantic segmentation
Yuhui Yuan, Xilin Chen, and Jingdong Wang · 2020
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Seed: Self-supervised distillation for visual representation
Zhiyuan Fang, Jianfeng Wang, Lijuan Wang, Lei Zhang, Yezhou Yang, and Zicheng Liu · 2021
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Region-aware contrastive learning for semantic segmentation
Hanzhe Hu, Jinshi Cui, and Liwei Wang · 2021
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Channel-wise knowledge distillation for dense prediction
Changyong Shu, Yifan Liu, Jianfei Gao, Zheng Yan, and Chunhua Shen · 2021
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Exploring cross-image pixel contrast for semantic segmentation
Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, and Luc Van Gool · 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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Hierarchical self-supervised augmented knowledge distillation
Chuanguang Yang, Zhulin An, Linhang Cai, and Yongjun Xu · 2021
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Multi-view contrastive learning for online knowledge distillation
Chuanguang Yang, Zhulin An, and Yongjun Xu · 2021
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Rethinking soft labels for knowledge distillation: A bias-variance tradeoff perspective
Helong Zhou, Liangchen Song, Jiajie Chen, Ye Zhou, Guoli Wang, Junsong Yuan, and Qian Zhang · 2021
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Prior gradient mask guided pruning-aware fine-tuning
Linhang Cai, Zhulin An, Chuanguang Yang, Yangchun Yan, and Yongjun Xu · 2022
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Mutual contrastive learning for visual representation learning
Chuanguang Yang, Zhulin An, Linhang Cai, and Yongjun Xu · 2022
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