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Amodal Instance Segmentation (AIS) aims to segment the region of both visible and possible occluded parts of an object instance.
Embedmask: Embedding coupling for one-stage instance segmentation
Hui Ying, Zhaojin Huang, Shu Liu, Tianjia Shao, and Kun Zhou · 1912
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Discrete cosine transform
Nasir Ahmed, T_ Natarajan, and Kamisetty R Rao · 1974
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Compressed sensing
David L Donoho · 2006
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Principal component analysis
Hervé Abdi and Lynne J Williams · 2010
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Weakly-supervised amodal instance segmentation with compositional priors
Yihong Sun, Adam Kortylewski, and Alan Yuille · 2010
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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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
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Bottom-up instance segmentation using deep higher-order crfs
Anurag Arnab and Philip H. S. Torr · 2016
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Dynamic filter networks
Xu Jia, Bert De Brabandere, Tinne Tuytelaars, and Luc Van Gool · 2016
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Amodal instance segmentation
Ke Li and Jitendra Malik · 2016
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Convoluted mixture of deep experts for robust semantic segmentation
Abhinav Valada, Ankit Dhall, and Wolfram Burgard · 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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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross B. Girshick · 2017
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Fully convolutional instance-aware semantic segmentation
Yi Li, Haozhi Qi, Jifeng Dai, Xiangyang Ji, and Yichen Wei · 2017
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Associative embedding: End-to-end learning for joint detection and grouping
Alejandro Newell, Zhiao Huang, and Jia Deng · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Semantic amodal segmentation
Yan Zhu, Yuandong Tian, Dimitris N. Metaxas, and Piotr Dollár · 2017
Cited alongside, same era.
Cascade R-CNN: delving into high quality object detection
Zhaowei Cai and Nuno Vasconcelos · 2018
Cited alongside, same era.
Mvtec d2s: densely segmented supermarket dataset
Patrick Follmann, Tobias Bottger, Philipp Hartinger, Rebecca Konig, and Markus Ulrich · 2018
Cited alongside, same era.
YOLACT: real-time instance segmentation
Daniel Bolya, Chong Zhou, Fanyi Xiao, and Yong Jae Lee · 2019
Cited alongside, same era.
Hybrid task cascade for instance segmentation
Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, and Dahua Lin · 2019
Cited alongside, same era.
Designing network design spaces
Ilija Radosavovic, Raj Prateek Kosaraju, Ross B. Girshick, Kaiming He, and Piotr Dollár · 2020
Later among the works it cites.
Amodal segmentation based on visible region segmentation and shape prior
Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, and Shenghua Gao · 2020
Later among the works it cites.
Polarmask: Single shot instance segmentation with polar representation
Enze Xie, Peize Sun, Xiaoge Song, Wenhai Wang, Xuebo Liu, Ding Liang, Chunhua Shen, and Ping Luo · 2020
Later among the works it cites.
Self-supervised scene de-occlusion
Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, and Chen Change Loy · 2020
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Solq: Segmenting objects by learning queries
Bin Dong, Fangao Zeng, Tiancai Wang, Xiangyu Zhang, and Yichen Wei · 2021
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Instances as queries
Yuxin Fang, Shusheng Yang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, and Wenyu Liu · 2021
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Tensormask: A foundation for dense object segmentation
Xinlei Chen, Ross B. Girshick, Kaiming He, and Piotr Dollár · 2019
Cited alongside, same era.
Learning to see the invisible: End-to-end trainable amodal instance segmentation
Patrick Follmann, Rebecca König, Philipp Härtinger, Michael Klostermann, and Tobias Böttger · 2019
Cited alongside, same era.
Amodal instance segmentation with KINS dataset
Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2019
Cited alongside, same era.
Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick · 2019
Cited alongside, same era.
End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Cited alongside, same era.
Blendmask: Top-down meets bottom-up for instance segmentation
Hao Chen, Kunyang Sun, Zhi Tian, Chunhua Shen, Yongming Huang, and Youliang Yan · 2020
Cited alongside, same era.
Later among the works it cites.
Simple copy-paste is a strong data augmentation method for instance segmentation
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D Cubuk, Quoc V Le, and Barret Zoph · 2021
Later among the works it cites.
Istr: End-to-end instance segmentation with transformers
Jie Hu, Liujuan Cao, Yao Lu, ShengChuan Zhang, Yan Wang, Ke Li, Feiyue Huang, Ling Shao, and Rongrong Ji · 2021
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Deep occlusion-aware instance segmentation with overlapping bilayers
Lei Ke, Yu-Wing Tai, and Chi-Keung Tang · 2021
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A weakly supervised amodal segmenter with boundary uncertainty estimation
Khoi Nguyen and Sinisa Todorovic · 2021
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Amodal segmentation based on visible region segmentation and shape prior
Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, and Shenghua Gao · 2021
Later among the works it cites.
Refinemask: Towards high-quality instance segmentation with fine-grained features
Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, and Xiaolin Hu · 2021
Later among the works it cites.
Mask transfiner for high-quality instance segmentation
Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, and Fisher Yu · 2022
Closest in time.
Amodal panoptic segmentation
Rohit Mohan and Abhinav Valada · 2022
Closest in time.
Amodal segmentation through out-of-task and out-of-distribution generalization with a bayesian model
Yihong Sun, Adam Kortylewski, and Alan Yuille · 2022
Closest in time.