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Video semantic segmentation requires to utilize the complex temporal relations between frames of the video sequence.
“Heterogeneous memory enhanced multimodal attention model for video question answering,”
Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, and Heng Huang, · 2007
Earlier work this paper cites.
“Segmentation and recognition using structure from motion point clouds,”
Gabriel J Brostow, Jamie Shotton, Julien Fauqueur, and Roberto Cipolla, · 2008
Earlier work this paper cites.
“Fully convolutional networks for semantic segmentation,”
Jonathan Long, Evan Shelhamer, and Trevor Darrell, · 2015
Earlier work this paper cites.
“Clockwork convnets for video semantic segmentation,”
Evan Shelhamer, Kate Rakelly, Judy Hoffman, and Trevor Darrell, · 2016
Earlier work this paper cites.
“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
Earlier work this paper cites.
“Deep feature flow for video recognition,”
Xizhou Zhu, Yuwen Xiong, Jifeng Dai, Lu Yuan, and Yichen Wei, · 2017
Earlier work this paper cites.
“Flownet 2.0: Evolution of optical flow estimation with deep networks,”
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox, · 2017
Earlier work this paper cites.
“Pyramid scene parsing network,”
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia, · 2017
Earlier work this paper cites.
“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
Cited alongside, same era.
“Semantic video cnns through representation warping,”
Raghudeep Gadde, Varun Jampani, and Peter V Gehler, · 2017
Cited alongside, same era.
“Low-latency video semantic segmentation,”
Yule Li, Jianping Shi, and Dahua Lin, · 2018
Cited alongside, same era.
“Semantic video segmentation by gated recurrent flow propagation,”
David Nilsson and Cristian Sminchisescu, · 2018
Cited alongside, same era.
“Motion-appearance co-memory networks for video question answering,”
Jiyang Gao, Runzhou Ge, Kan Chen, and Ram Nevatia, · 2018
Cited alongside, same era.
“Non-local neural networks,”
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He, · 2018
“Context encoding for semantic segmentation,”
Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, and Amit Agrawal, · 2018
Later among the works it cites.
“Video object segmentation using space-time memory networks,”
Seoung Wug Oh, Joon-Young Lee, Ning Xu, and Seon Joo Kim, · 2019
Later among the works it cites.
“Enhanced memory network for video segmentation,”
Zhishan Zhou, Lejian Ren, Pengfei Xiong, Yifei Ji, Peisen Wang, Haoqiang Fan, and Si Liu, · 2019
Later among the works it cites.
“Dual attention network for scene segmentation,”
Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, and Hanqing Lu, · 2019
Later among the works it cites.
“Temporally distributed networks for fast video semantic segmentation,”
Ping Hu, Fabian Caba, Oliver Wang, Zhe Lin, Stan Sclaroff, and Federico Perazzi, · 2020
Later among the works it cites.
“Efficient semantic video segmentation with per-frame inference,”
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Cited alongside, same era.
“Encoder-decoder with atrous separable convolution for semantic image segmentation,”
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam, · 2018
Cited alongside, same era.
Yifan Liu, Chunhua Shen, Changqian Yu, and Jingdong Wang, · 2020
Later among the works it cites.
“Fast video object segmentation using the global context module,”
Yu Li, Zhuoran Shen, and Ying Shan, · 2020
Later among the works it cites.