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This work presents a new fine-grained transparent object segmentation dataset, termed Trans10K-v2, extending Trans10K-v1, the first large-scale transparent object segmentation dataset.
The pascal visual object classes challenge 2012 (voc2012) development kit
Mark Everingham and John Winn · 2011
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Transparent object detection and reconstruction on a mobile platform
Ulrich Klank, Daniel Carton, and Michael Beetz · 2011
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Visagge: Visible angle grid for glass environments
Paul Foster, Zhenghong Sun, Jong Jin Park, and Benjamin Kuipers · 2013
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Semantic image segmentation with deep convolutional nets and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2014
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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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Reaching and grasping a glass of water by locked-in als patients through a bci-controlled humanoid robot
R. Spataro, R. Sorbello, S. Tramonte, G. Tumminello, M. Giardina, A. Chella, and V. La Bella · 2015
Earlier work this paper cites.
Transcut: Transparent object segmentation from a light-field image
Yichao Xu, Hajime Nagahara, Atsushi Shimada, and Rin-ichiro Taniguchi · 2015
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Conditional random fields as recurrent neural networks
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, and Philip HS Torr · 2015
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Superpixel convolutional networks using bilateral inceptions
Raghudeep Gadde, Varun Jampani, Martin Kiefel, Daniel Kappler, and Peter V Gehler · 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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Localization of a mobile robot using a laser range finder in a glass-walled environment
Jiwoong Kim and Woojin Chung · 2016
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Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin, Chunhua Shen, Anton Van Den Hengel, and Ian Reid · 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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Convolutional sequence to sequence learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin · 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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Learning affinity via spatial propagation networks
Sifei Liu, Shalini De Mello, Jinwei Gu, Guangyu Zhong, Ming-Hsuan Yang, and Jan Kautz · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 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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Scene parsing through ade20k dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, and Antonio Torralba · 2017
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Tom-net: Learning transparent object matting from a single image
Guanying Chen, Kai Han, and Kwan-Yee K. Wong · 2018
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.
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.
Contextnet: Exploring context and detail for semantic segmentation in real-time
Dfanet: Deep feature aggregation for real-time semantic segmentation
Hanchao Li, Pengfei Xiong, Haoqiang Fan, and Jian Sun · 2019
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Feature pyramid encoding network for real-time semantic segmentation
Mengyu Liu and Hujun Yin · 2019
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Espnetv2: A light-weight, power efficient, and general purpose convolutional neural network
Sachin Mehta, Mohammad Rastegari, Linda Shapiro, and Hannaneh Hajishirzi · 2019
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Fast-scnn: fast semantic segmentation network
Rudra PK Poudel, Stephan Liwicki, and Roberto Cipolla · 2019
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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 · 2019
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Lednet: A lightweight encoder-decoder network for real-time semantic segmentation
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Rudra PK Poudel, Ujwal Bonde, Stephan Liwicki, and Christopher Zach · 2018
Cited alongside, same era.
Multi-data sensor fusion framework to detect transparent object for the efficient mobile robot mapping
Ravinder Singh, Kuldeep Singh Nagla, John Page, and John Page · 2018
Cited alongside, same era.
Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
Cited alongside, same era.
Denseaspp for semantic segmentation in street scenes
Maoke Yang, Kun Yu, Chi Zhang, Zhiwei Li, and Kuiyuan Yang · 2018
Cited alongside, same era.
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.
Ocnet: Object context network for scene parsing
Yuhui Yuan and Jingdong Wang · 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.
Yu Wang, Quan Zhou, Jia Liu, Jian Xiong, Guangwei Gao, Xiaofu Wu, and Longin Jan Latecki · 2019
Later among the works it cites.
End-to-End object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Later among the works it cites.
Pre-trained image processing transformer
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, and Wen Gao · 2020
Later among the works it cites.
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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A survey on visual transformer
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, et al · 2020
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Don’t hit me! glass detection in real-world scenes
Haiyang Mei, Xin Yang, Yang Wang, Yuanyuan Liu, Shengfeng He, Qiang Zhang, Xiaopeng Wei, and Rynson W.H. Lau · 2020
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Transtrack: Multiple-object tracking with transformer
Peize Sun, Yi Jiang, Rufeng Zhang, Enze Xie, Jinkun Cao, Xinting Hu, Tao Kong, Zehuan Yuan, Changhu Wang, and Ping Luo · 2020
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End-to-end video instance segmentation with transformers
Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, and Huaxia Xia · 2020
Later among the works it cites.
Segmenting transparent objects in the wild
Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, and Ping Luo · 2020
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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 · 2020
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Deformable detr: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
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Trackformer: Multi-object tracking with transformers
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixe, and Christoph Feichtenhofer · 2021
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