Fetching the paper…
Reading the bibliography…
This paper presents a simple yet effective approach to modeling space-time correspondences in the context of video object segmentation.
A note on the calculation and interpretation of the gini index
Robert I Lerman and Shlomo Yitzhaki · 1984
Earlier work this paper cites.
Principal warps: Thin-plate splines and the decomposition of deformations
Fred L. Bookstein · 1989
Earlier work this paper cites.
Signature verification using a "siamese" time delay neural network
Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, and Roopak Shah · 1993
Earlier work this paper cites.
Computational geometry
Mark De Berg, Marc Van Kreveld, Mark Overmars, and Otfried Schwarzkopf · 1997
Earlier work this paper cites.
Lucas-kanade 20 years on: A unifying framework
Simon Baker and Iain Matthews · 2004
Earlier work this paper cites.
High-speed tracking with kernelized correlation filters
João F Henriques, Rui Caseiro, Pedro Martins, and Jorge Batista · 2014
Earlier work this paper cites.
Do convnets learn correspondence?
Jonathan Long, Ning Zhang, and Trevor Darrell · 2014
Earlier work this paper cites.
Flownet: Learning optical flow with convolutional networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick Van Der Smagt, Daniel Cremers, and Thomas Brox · 2015
Earlier work this paper cites.
Siamese neural networks for one-shot image recognition
Gregory Koch, Richard Zemel, and Ruslan Salakhutdinov · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Hierarchical image saliency detection on extended cssd
Jianping Shi, Qiong Yan, Li Xu, and Jiaya Jia · 2015
Earlier work this paper cites.
ShapeNet: An Information-Rich 3D Model Repository
Angel Xuan Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
Earlier work this paper cites.
MOT16: A benchmark for multi-object tracking
Anton Milan, Laura Leal-Taixé, Ian Reid, Stefan Roth, and Konrad Schindler · 2016
Earlier work this paper cites.
A benchmark dataset and evaluation methodology for video object segmentation
Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus Gross, and Alexander Sorkine-Hornung · 2016
Earlier work this paper cites.
Fully-convolutional siamese networks for object tracking
Luca Bertinetto, Jack Valmadre, Joao F Henriques, Andrea Vedaldi, and Philip HS Torr · 2016
Earlier work this paper cites.
Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Koray Kavukcuoglu, and Daan Wierstra · 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.
Wide residual networks
Sergey Zagoruyko and Nikos Komodakis · 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.
Online video object segmentation via convolutional trident network
Won-Dong Jang and Chang-Su Kim · 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.
Maskrnn: Instance level video object segmentation
Yuan-Ting Hu, Jia-Bin Huang, and Alexander Schwing · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Scnet: Learning semantic correspondence
Kai Han, Rafael S Rezende, Bumsub Ham, Kwan-Yee K Wong, Minsu Cho, Cordelia Schmid, and Jean Ponce · 2017
Earlier work this paper cites.
Prototypical networks for few-shot learning
Jake Snell, Kevin Swersky, and Richard S Zemel · 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
Earlier work this paper cites.
Learning to detect salient objects with image-level supervision
Lijun Wang, Huchuan Lu, Yifan Wang, Mengyang Feng, Dong Wang, Baocai Yin, and Xiang Ruan · 2017
Earlier work this paper cites.
Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
Earlier work this paper cites.
Video object segmentation without temporal information
K-K Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, and Luc Van Gool · 2018
Earlier work this paper cites.
Efficient video object segmentation via network modulation
Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, and Aggelos K Katsaggelos · 2018
Cited alongside, same era.
Fast and accurate online video object segmentation via tracking parts
Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, and Ming-Hsuan Yang · 2018
Cited alongside, same era.
Videomatch: Matching based video object segmentation
Yuan-Ting Hu, Jia-Bin Huang, and Alexander G Schwing · 2018
Cited alongside, same era.
Video object segmentation with joint re-identification and attention-aware mask propagation
Xiaoxiao Li and Chen Change Loy · 2018
Cited alongside, same era.
PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz · 2018
Cited alongside, same era.
High performance visual tracking with siamese region proposal network
Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, and Harinandan Katam · 2019
Later among the works it cites.
Tao: A large-scale benchmark for tracking any object
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, and Deva Ramanan · 2020
Later among the works it cites.
Learning fast and robust target models for video object segmentation
Andreas Robinson, Felix Jaremo Lawin, Martin Danelljan, Fahad Shahbaz Khan, and Michael Felsberg · 2020
Later among the works it cites.
Learning what to learn for video object segmentation
Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, and Radu Timofte · 2020
Later among the works it cites.
Make one-shot video object segmentation efficient again
Tim Meinhardt and Laura Leal-Taixé · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, and Xiaolin Hu · 2018
Cited alongside, same era.
End-to-end weakly-supervised semantic alignment
Ignacio Rocco, Relja Arandjelović, and Josef Sivic · 2018
Cited alongside, same era.
Learning to compare: Relation network for few-shot learning
Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip HS Torr, and Timothy M Hospedales · 2018
Cited alongside, same era.
Cnn in mrf: Video object segmentation via inference in a cnn-based higher-order spatio-temporal mrf
Linchao Bao, Baoyuan Wu, and Wei Liu · 2018
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.
Motion-guided cascaded refinement network for video object segmentation
Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, and Yap-Peng Tan · 2018
Cited alongside, same era.
Blazingly fast video object segmentation with pixel-wise metric learning
Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, and Luc Van Gool · 2018
Cited alongside, same era.
Collaborative video object segmentation by foreground-background integration
Zongxin Yang, Yunchao Wei, and Yi Yang · 2020
Later among the works it cites.
Video object segmentation with episodic graph memory networks
Xiankai Lu, Wenguan Wang, Danelljan Martin, Tianfei Zhou, Jianbing Shen, and Van Gool Luc · 2020
Later among the works it cites.
Fast video object segmentation with temporal aggregation network and dynamic template matching
Xuhua Huang, Jiarui Xu, Yu-Wing Tai, and Chi-Keung Tang · 2020
Later among the works it cites.
Kernelized memory network for video object segmentation
Hongje Seong, Junhyuk Hyun, and Euntai Kim · 2020
Later among the works it cites.
Video object segmentation with adaptive feature bank and uncertain-region refinement
Yongqing Liang, Xin Li, Navid Jafari, and Jim Chen · 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.
Spatial constrained memory network for semi-supervised video object segmentation
Peng Zhang, Li Hu, Bang Zhang, and Pan Pan · 2020
Later among the works it cites.
Few-shot object detection with attention-rpn and multi-relation detector
Qi Fan, Wei Zhuo, Chi-Keung Tang, and Yu-Wing Tai · 2020
Later among the works it cites.
Adaptive subspaces for few-shot learning
Christian Simon, Piotr Koniusz, Richard Nock, and Mehrtash Harandi · 2020
Later among the works it cites.
State-aware tracker for real-time video object segmentation
Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, and Donglian Qi · 2020
Later among the works it cites.
Space-time memory networks for video object segmentation with user guidance
Seoung Wug Oh, Joon-Young Lee, Ning Xu, and Seon Joo Kim · 2020
Later among the works it cites.
Mast: A memory-augmented self-supervised tracker
Zihang Lai, Erika Lu, and Weidi Xie · 2020
Later among the works it cites.
The lipschitz constant of self-attention
Hyunjik Kim, George Papamakarios, and Andriy Mnih · 2020
Later among the works it cites.
Cascadepsp: Toward class-agnostic and very high-resolution segmentation via global and local refinement
Ho Kei Cheng, Jihoon Chung, Yu-Wing Tai, and Chi-Keung Tang · 2020
Later among the works it cites.
Fss-1000: A 1000-class dataset for few-shot segmentation
Xiang Li, Tianhan Wei, Yau Pun Chen, Yu-Wing Tai, and Chi-Keung Tang · 2020
Later among the works it cites.
A transductive approach for video object segmentation
Yizhuo Zhang, Zhirong Wu, Houwen Peng, and Stephen Lin · 2020
Later among the works it cites.
Interactive video object segmentation using global and local transfer modules
Yuk Heo, Yeong Jun Koh, and Chang-Su Kim · 2020
Later among the works it cites.
Space-time memory networks for video object segmentation with user guidance
Seoung Wug Oh, Joon-Young Lee, Ning Xu, and Seon Joo Kim · 2020
Later among the works it cites.
Modular interactive video object segmentation: Interaction-to-mask, propagation and difference-aware fusion
Ho Kei Cheng, Yu-Wing Tai, and Chi-Keung Tang · 2021
Closest in time.
Learning position and target consistency for memory-based video object segmentation
Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, and Rong Jin · 2021
Closest in time.
Efficient regional memory network for video object segmentation
Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, and Wenxiu Sun · 2021
Closest in time.
Swiftnet: Real-time video object segmentation
Haochen Wang, Xiaolong Jiang, Haibing Ren, Yao Hu, and Song Bai · 2021
Closest in time.
Collaborative video object segmentation by multi-scale foreground-background integration
Zongxin Yang, Yunchao Wei, and Yi Yang · 2021
Closest in time.
Guided interactive video object segmentation using reliability-based attention maps
Yuk Heo, Yeong Jun Koh, and Chang-Su Kim · 2021
Closest in time.