Object Counting and Instance Segmentation With Image-Level Supervision
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[1] G. Mandler,et al. Subitizing: an analysis of its component processes. , 1982, Journal of experimental psychology. General.
[2] E. J. Capaldi,et al. The Development of numerical competence : animal and human models , 1993 .
[3] D. Clements. Subitizing: What Is It? Why Teach It?. , 1999 .
[4] Arie Shoshani,et al. Optimizing connected component labeling algorithms , 2005, SPIE Medical Imaging.
[5] Andrew Zisserman,et al. Learning To Count Objects in Images , 2010, NIPS.
[6] Luc Van Gool,et al. The Pascal Visual Object Classes Challenge: A Retrospective , 2014, International Journal of Computer Vision.
[7] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[8] Abe D. Hofman,et al. The role of pattern recognition in children's exact enumeration of small numbers. , 2014, The British journal of developmental psychology.
[9] Yang Song,et al. Learning Fine-Grained Image Similarity with Deep Ranking , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Margrit Betke,et al. Salient Object Subitizing , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[12] Trevor Darrell,et al. Fully convolutional networks for semantic segmentation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Saturnino Maldonado-Bascón,et al. Extremely Overlapping Vehicle Counting , 2015, IbPRIA.
[14] Luc Van Gool,et al. Boosting Object Proposals: From Pascal to COCO , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[15] Ivan Laptev,et al. Is object localization for free? - Weakly-supervised learning with convolutional neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Luc Van Gool,et al. Convolutional Oriented Boundaries , 2016, ECCV.
[17] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Shenghua Gao,et al. Single-Image Crowd Counting via Multi-Column Convolutional Neural Network , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Bolei Zhou,et al. Learning Deep Features for Discriminative Localization , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Fei-Fei Li,et al. What's the Point: Semantic Segmentation with Point Supervision , 2015, ECCV.
[21] Noel E. O'Connor,et al. Fully Convolutional Crowd Counting on Highly Congested Scenes , 2016, VISIGRAPP.
[22] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Jitendra Malik,et al. Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation. , 2017, IEEE transactions on pattern analysis and machine intelligence.
[24] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[25] Jonathan T. Barron,et al. Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Yi Zhu,et al. Soft Proposal Networks for Weakly Supervised Object Localization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[27] Ramprasaath R. Selvaraju,et al. Counting Everyday Objects in Everyday Scenes , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Larry S. Davis,et al. C-WSL: Count-guided Weakly Supervised Localization , 2017, ECCV.
[29] Yuhong Li,et al. CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[30] Joost van de Weijer,et al. Leveraging Unlabeled Data for Crowd Counting by Learning to Rank , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[31] Mark W. Schmidt,et al. Where are the Blobs: Counting by Localization with Point Supervision , 2018, ECCV.
[32] Qiang Qiu,et al. Weakly Supervised Instance Segmentation Using Class Peak Response , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[33] Fei Su,et al. Scale Aggregation Network for Accurate and Efficient Crowd Counting , 2018, ECCV.
[34] Bernt Schiele,et al. Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] Fang Wan,et al. Min-Entropy Latent Model for Weakly Supervised Object Detection , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.