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Cascade is a classic yet powerful architecture that has boosted performance on various tasks.
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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Object detection via a multi-region and semantic segmentation-aware cnn model
Spyros Gidaris and Nikos Komodakis · 2015
Earlier work this paper cites.
Fast r-cnn
Ross Girshick · 2015
Earlier work this paper cites.
A convolutional neural network cascade for face detection
Haoxiang Li, Zhe Lin, Xiaohui Shen, Jonathan Brandt, and Gang Hua · 2015
Earlier work this paper cites.
Semantic image segmentation via deep parsing network
Ziwei Liu, Xiaoxiao Li, Ping Luo, Chen-Change Loy, and Xiaoou Tang · 2015
Earlier work this paper cites.
Learning to segment object candidates
Pedro O Pinheiro, Ronan Collobert, and Piotr Dollár · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Monocular object instance segmentation and depth ordering with cnns
Ziyu Zhang, Alexander G Schwing, Sanja Fidler, and Raquel Urtasun · 2015
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Bottom-up instance segmentation using deep higher-order crfs
Anurag Arnab and Philip HS Torr · 2016
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Instance-sensitive fully convolutional networks
Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Instance-aware semantic segmentation via multi-task network cascades
Jifeng Dai, Kaiming He, and Jian Sun · 2016
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R-FCN: Object detection via region-based fully convolutional networks
Jifeng Dai, Yi Li, Kaiming He, and Jian Sun · 2016
Earlier work this paper cites.
Attend refine repeat: Active box proposal generation via in-out localization
Spyros Gidaris and Nikos Komodakis · 2016
Earlier work this paper cites.
Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
Earlier work this paper cites.
Learning to refine object segments
Pedro O Pinheiro, Tsung-Yi Lin, Ronan Collobert, and Piotr Dollár · 2016
Earlier work this paper cites.
You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
Earlier work this paper cites.
Bridging category-level and instance-level semantic image segmentation
Zifeng Wu, Chunhua Shen, and Anton van den Hengel · 2016
Cited alongside, same era.
Craft objects from images
Bin Yang, Junjie Yan, Zhen Lei, and Stan Li · 2016
Cited alongside, same era.
Instance-level segmentation for autonomous driving with deep densely connected mrfs
Ziyu Zhang, Sanja Fidler, and Raquel Urtasun · 2016
Cited alongside, same era.
Deep watershed transform for instance segmentation
Min Bai and Raquel Urtasun · 2017
Cited alongside, same era.
Soft-nms—improving object detection with one line of code
Navaneeth Bodla, Bharat Singh, Rama Chellappa, and Larry S Davis · 2017
Cited alongside, same era.
Dual path networks
Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, and Jiashi Feng · 2017
Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
Later among the works it cites.
Large kernel matters—improve semantic segmentation by global convolutional network
Chao Peng, Xiangyu Zhang, Gang Yu, Guiming Luo, and Jian Sun · 2017
Later among the works it cites.
Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
Later among the works it cites.
Coco-stuff: Thing and stuff classes in context
Holger Caesar, Jasper Uijlings, and Vittorio Ferrari · 2018
Later among the works it cites.
Cascade r-cnn: Delving into high quality object detection
Zhaowei Cai and Nuno Vasconcelos · 2018
Later among the works it cites.
mmdetection
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 · 2018
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Cited alongside, same era.
Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
Cited alongside, same era.
Boundary-aware instance segmentation
Zeeshan Hayder, Xuming He, and Mathieu Salzmann · 2017
Cited alongside, same era.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
Not all pixels are equal: Difficulty-aware semantic segmentation via deep layer cascade
Xiaoxiao Li, Ziwei Liu, Ping Luo, Chen Change Loy, and Xiaoou Tang · 2017
Cited alongside, same era.
Fully convolutional instance-aware semantic segmentation
Yi Li, Haozhi Qi, Jifeng Dai, Xiangyang Ji, and Yichen Wei · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross B Girshick, Kaiming He, Bharath Hariharan, and Serge J Belongie · 2017
Cited alongside, same era.
Later among the works it cites.
Masklab: Instance segmentation by refining object detection with semantic and direction features
Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, and Hartwig Adam · 2018
Later among the works it cites.
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 · 2018
Later among the works it cites.
Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
Later among the works it cites.
Acquisition of localization confidence for accurate object detection
Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, and Yuning Jiang · 2018
Later among the works it cites.
Path aggregation network for instance segmentation
Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, and Jiaya Jia · 2018
Later among the works it cites.
Megdet: A large mini-batch object detector
Chao Peng, Tete Xiao, Zeming Li, Yuning Jiang, Xiangyu Zhang, Kai Jia, Gang Yu, and Jian Sun · 2018
Later among the works it cites.
Fishnet: A versatile backbone for image, region, and pixel level prediction
Shuyang Sun, Jiangmiao Pang, Jianping Shi, Shuai Yi, and Wanli Ouyang · 2018
Later among the works it cites.
Libra r-cnn: Towards balanced learning for object detection
Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, and Dahua Lin · 2019
Closest in time.
Region proposal by guided anchoring
Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, and Dahua Lin · 2019
Closest in time.