Fetching the paper…
Reading the bibliography…
Interactive segmentation enables users to segment as needed by providing cues of objects, which introduces human-computer interaction for many fields, such as image editing and medical image analysis.
Hierarchical grouping to optimize an objective function
Joe H Ward Jr · 1963
Earlier work this paper cites.
Bilateral filtering for gray and color images
Carlo Tomasi and Roberto Manduchi · 1998
Earlier work this paper cites.
Normalized cuts and image segmentation
Jianbo Shi and Jitendra Malik · 2000
Earlier work this paper cites.
Interactive graph cuts for optimal boundary & region segmentation of objects in ND images
Yuri Y Boykov and M-P Jolly · 2001
Earlier work this paper cites.
An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
Yuri Boykov and Vladimir Kolmogorov · 2004
Earlier work this paper cites.
Lazy snapping
Yin Li, Jian Sun, Chi-Keung Tang, and Heung-Yeung Shum · 2004
Earlier work this paper cites.
” grabcut” interactive foreground extraction using iterated graph cuts
Carsten Rother, Vladimir Kolmogorov, and Andrew Blake · 2004
Earlier work this paper cites.
Random walks for image segmentation
Leo Grady · 2006
Earlier work this paper cites.
A geodesic framework for fast interactive image and video segmentation and matting
Xue Bai and Guillermo Sapiro · 2007
Earlier work this paper cites.
Image segmentation with a bounding box prior
Victor Lempitsky, Pushmeet Kohli, Carsten Rother, and Toby Sharp · 2009
Earlier work this paper cites.
Geodesic star convexity for interactive image segmentation
Varun Gulshan, Carsten Rother, Antonio Criminisi, Andrew Blake, and Andrew Zisserman · 2010
Earlier work this paper cites.
A comparative evaluation of interactive segmentation algorithms
Kevin McGuinness and Noel E O’connor · 2010
Earlier work this paper cites.
Semantic contours from inverse detectors
Bharath Hariharan, Pablo Arbeláez, Lubomir Bourdev, Subhransu Maji, and Jitendra Malik · 2011
Earlier work this paper cites.
Error-tolerant scribbles based interactive image segmentation
Junjie Bai and Xiaodong Wu · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Milcut: A sweeping line multiple instance learning paradigm for interactive image segmentation
Jiajun Wu, Yibiao Zhao, Jun-Yan Zhu, Siwei Luo, and Zhuowen Tu · 2014
Cited alongside, same era.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
Cited alongside, same era.
The fast bilateral solver
Jonathan T Barron and Ben Poole · 2016
Cited alongside, same era.
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
Cited alongside, same era.
Deep interactive object selection
Ning Xu, Brian Price, Scott Cohen, Jimei Yang, and Thomas S Huang · 2016
Cited alongside, same era.
A closer look at memorization in deep networks
Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, et al · 2017
Conditional diffusion for interactive segmentation
Xi Chen, Zhiyan Zhao, Feiwu Yu, Yilei Zhang, and Manni Duan · 2021
Later among the works it cites.
Edgeflow: Achieving practical interactive segmentation with edge-guided flow
Yuying Hao, Yi Liu, Zewu Wu, Lin Han, Yizhou Chen, Guowei Chen, Lutao Chu, Shiyu Tang, Zhiliang Yu, Zeyu Chen, et al · 2021
Later among the works it cites.
Localizing objects with self-supervised transformers and no labels
Oriane Siméoni, Gilles Puy, Huy V Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, and Jean Ponce · 2021
Later among the works it cites.
Dense contrastive learning for self-supervised visual pre-training
Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, and Lei Li · 2021
Later among the works it cites.
FocalClick: Towards practical interactive image segmentation
Xi Chen, Zhiyan Zhao, Yilei Zhang, Manni Duan, Donglian Qi, and Hengshuang Zhao · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Interactive image segmentation with latent diversity
Zhuwen Li, Qifeng Chen, and Vladlen Koltun · 2018
Cited alongside, same era.
Interactive image segmentation via backpropagating refinement scheme
Won-Dong Jang and Chang-Su Kim · 2019
Cited alongside, same era.
Interactive segmentation as gaussian process classification
Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, and Yefeng Zheng · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Continuous adaptation for interactive object segmentation by learning from corrections
Theodora Kontogianni, Michael Gygli, Jasper Uijlings, and Vittorio Ferrari · 2020
Cited alongside, same era.
Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, and William T Freeman · 2022
Later among the works it cites.
Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
Later among the works it cites.
Exploring plain vision transformer backbones for object detection
Yanghao Li, Hanzi Mao, Ross Girshick, and Kaiming He · 2022
Later among the works it cites.
FocusCut: Diving into a focus view in interactive segmentation
Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chun-Le Guo, and Ming-Ming Cheng · 2022
Later among the works it cites.
Simpleclick: Interactive image segmentation with simple vision transformers
Qin Liu, Zhenlin Xu, Gedas Bertasius, and Marc Niethammer · 2022
Later among the works it cites.
PseudoClick: Interactive image segmentation with click imitation
Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, and Ziyan Wu · 2022
Later among the works it cites.
Deep spectral methods: A surprisingly strong baseline for unsupervised semantic segmentation and localization
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, and Andrea Vedaldi · 2022
Later among the works it cites.
Reviving iterative training with mask guidance for interactive segmentation
Konstantin Sofiiuk, Ilya A Petrov, and Anton Konushin · 2022
Later among the works it cites.
Freesolo: Learning to segment objects without annotations
Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, and Jose M Alvarez · 2022
Later among the works it cites.
Self-supervised transformers for unsupervised object discovery using normalized cut
Yangtao Wang, Xi Shen, Shell Xu Hu, Yuan Yuan, James L Crowley, and Dominique Vaufreydaz · 2022
Later among the works it cites.