DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data
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[1] Chang Liu,et al. C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Yi Yang,et al. Adversarial Complementary Learning for Weakly Supervised Object Localization , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[3] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Xuelong Li,et al. Weakly Supervised Object Detection via Object-Specific Pixel Gradient , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[5] Yong Jae Lee,et al. Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[6] Dongrui Fan,et al. C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[7] Ross B. Girshick,et al. LVIS: A Dataset for Large Vocabulary Instance Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Dongrui Fan,et al. Utilizing the Instability in Weakly Supervised Object Detection , 2019, CVPR Workshops.
[9] Alexander S. Ecker,et al. One-Shot Instance Segmentation , 2018, ArXiv.
[10] Ali Farhadi,et al. YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[12] Kiyoharu Aizawa,et al. Object-Aware Instance Labeling for Weakly Supervised Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[13] Jonathan T. Barron,et al. Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Cees Snoek,et al. SILCO: Show a Few Images, Localize the Common Object , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[15] Juergen Gall,et al. Weak supervision for detecting object classes from activities , 2017, Comput. Vis. Image Underst..
[16] Hongyang Chao,et al. WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[17] Luowei Zhou,et al. Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction , 2018, BMVC.
[18] G. Celeux,et al. A Classification EM algorithm for clustering and two stochastic versions , 1992 .
[19] Qi Tian,et al. Zigzag Learning for Weakly Supervised Object Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] Byron Boots,et al. One-Shot Learning for Semantic Segmentation , 2017, BMVC.
[21] Kaiming He,et al. Data Distillation: Towards Omni-Supervised Learning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[22] C. V. Jawahar,et al. Dissimilarity Coefficient Based Weakly Supervised Object Detection , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Ivan Laptev,et al. Weakly-Supervised Learning of Visual Relations , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[24] Wenyu Liu,et al. Multiple Instance Detection Network with Online Instance Classifier Refinement , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Philip Wolfe,et al. An algorithm for quadratic programming , 1956 .
[26] Miaojing Shi,et al. Weakly Supervised Object Localization Using Things and Stuff Transfer , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[27] Luc Van Gool,et al. Weakly Supervised Cascaded Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Bernard Ghanem,et al. W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] Fei-Fei Li,et al. What's the Point: Semantic Segmentation with Point Supervision , 2015, ECCV.
[30] Ming-Hsuan Yang,et al. Weakly Supervised Object Localization with Progressive Domain Adaptation , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[32] Deva Ramanan,et al. Meta-Learning to Detect Rare Objects , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[33] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Li Fei-Fei,et al. Scaling Human-Object Interaction Recognition Through Zero-Shot Learning , 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).
[35] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[36] Gang Yu,et al. Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation , 2019, AAAI.
[37] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[38] Xinlei Chen,et al. NEIL: Extracting Visual Knowledge from Web Data , 2013, 2013 IEEE International Conference on Computer Vision.
[39] Fei-Fei Li,et al. OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[40] Trevor Darrell,et al. Constrained Convolutional Neural Networks for Weakly Supervised Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[41] Seong Joon Oh,et al. Exploiting Saliency for Object Segmentation from Image Level Labels , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Cordelia Schmid,et al. Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] Wei Liu,et al. Deep Self-Taught Learning for Weakly Supervised Object Localization , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Yong Dou,et al. Towards Precise End-to-End Weakly Supervised Object Detection Network , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[45] Martial Hebert,et al. Semi-Supervised Self-Training of Object Detection Models , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.
[46] Andrea Vedaldi,et al. Weakly Supervised Deep Detection Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[48] Ivan Laptev,et al. ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization , 2016, ECCV.
[49] Kaiming He,et al. Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Larry S. Davis,et al. C-WSL: Count-guided Weakly Supervised Localization , 2017, ECCV.
[51] Kate Saenko,et al. Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition , 2019, ArXiv.
[52] Ramakant Nevatia,et al. NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[53] Deyu Meng,et al. Few-Example Object Detection with Model Communication , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[54] Shiguang Shan,et al. Weakly Supervised Object Detection With Segmentation Collaboration , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[55] Yizhou Yu,et al. Multi-evidence Filtering and Fusion for Multi-label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[56] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[57] Hao Chen,et al. Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[58] Wenyu Liu,et al. Weakly Supervised Region Proposal Network and Object Detection , 2018, ECCV.
[59] Vittorio Ferrari,et al. Revisiting Knowledge Transfer for Training Object Class Detectors , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[60] Jinjun Xiong,et al. TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection , 2018, ECCV.
[61] Xin Wang,et al. Few-Shot Object Detection via Feature Reweighting , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[62] Yi Zhu,et al. Soft Proposal Networks for Weakly Supervised Object Localization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[63] David A. Shamma,et al. YFCC100M , 2015, Commun. ACM.
[64] Wenyu Liu,et al. PCL: Proposal Cluster Learning for Weakly Supervised Object Detection , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[65] Qixiang Ye,et al. Min-Entropy Latent Model for Weakly Supervised Object Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.