Fetching the paper…
Reading the bibliography…
In this paper, we address several inadequacies of current video object segmentation pipelines.
ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Hierarchical image saliency detection on extended cssd
J. Shi, Q. Yan, L. Xu, and J. Jia · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
One-shot video object segmentation
Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, and Luc Van Gool · 2017
Earlier work this paper cites.
Learning video object segmentation from static images
Federico Perazzi, Anna Khoreva, Rodrigo Benenson, Bernt Schiele, and Alexander Sorkine-Hornung · 2017
Earlier work this paper cites.
Online adaptation of convolutional neural networks for video object segmentation
Paul Voigtlaender and Bastian Leibe · 2017
Earlier work this paper cites.
The 2017 davis challenge on video object segmentation
Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbeláez, Alexander Sorkine-Hornung, and Luc Van Gool · 2017
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
Cited alongside, same era.
Fast video object segmentation by reference-guided mask propagation
Seoung Wug Oh, Joon-Young Lee, Kalyan Sunkavalli, and Seon Joo Kim · 2018
Cited alongside, same era.
Premvos: Proposal-generation, refinement and merging for video object segmentation
Jonathon Luiten, Paul Voigtlaender, and Bastian Leibe · 2018
Cited alongside, same era.
Youtube-vos: Sequence-to-sequence video object segmentation
Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian Price, Scott Cohen, and Thomas Huang · 2018
Cited alongside, same era.
Agss-vos: Attention guided single-shot video object segmentation
Huaijia Lin, Xiaojuan Qi, and Jiaya Jia · 2019
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.
Feelvos: Fast end-to-end embedding learning for video object segmentation
Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, and Liang-Chieh Chen · 2019
Later among the works it cites.
Dmm-net: Differentiable mask-matching network for video object segmentation
Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, and Raquel Urtasun · 2019
Later among the works it cites.
Learning correspondence from the cycle-consistency of time
Xiaolong Wang, Allan Jabri, and Alexei A. Efros · 2019
Later among the works it cites.
Rvos: End-to-end recurrent network for video object segmentation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Mask r-cnn
Kaiming He, Gkioxari Georgia, Dollar Piotr, and Girshick Ross · 2018
Cited alongside, same era.
UnFlow: Unsupervised learning of optical flow with a bidirectional census loss
Simon Meister, Junhwa Hur, and Stefan Roth · 2018
Cited alongside, same era.
Recycle-gan: Unsupervised video retargeting
Aayush Bansal, Shugao Ma, Deva Ramanan, and Yaser Sheikh · 2018
Cited alongside, same era.
Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, and Xavier Giro-i Nieto · 2019
Later among the works it cites.
Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking
Jinlong Peng, Changan Wang, Fangbin Wan, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, and Yanwei Fu · 2020
Closest in time.