The Open Images Dataset V4
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Jordi Pont-Tuset | Vittorio Ferrari | Shahab Kamali | Jasper R. R. Uijlings | Neil Alldrin | Ivan Krasin | Alina Kuznetsova | Stefan Popov | Hassan Rom | Matteo Malloci | Tom Duerig | J. Uijlings | V. Ferrari | N. Alldrin | Ivan Krasin | Alexander Kolesnikov | J. Pont-Tuset | Tom Duerig | S. Kamali | S. Popov | H. Rom | Matteo Malloci | Alina Kuznetsova | Shahab Kamali
[1] Ali Farhadi,et al. YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Thomas Deselaers,et al. Measuring the Objectness of Image Windows , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Michael S. Bernstein,et al. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations , 2016, International Journal of Computer Vision.
[4] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[5] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[6] Sergey Ioffe,et al. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning , 2016, AAAI.
[7] Luc Van Gool,et al. The 2005 PASCAL Visual Object Classes Challenge , 2005, MLCW.
[8] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[9] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[10] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Hao Su,et al. Crowdsourcing Annotations for Visual Object Detection , 2012, HCOMP@AAAI.
[12] Xilin Chen,et al. Visual Relationship Detection With Deep Structural Ranking , 2018, AAAI.
[13] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[14] Ivan Laptev,et al. Weakly-Supervised Learning of Visual Relations , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[15] Chen Gao,et al. iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection , 2018, BMVC.
[16] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[17] Ning Qian,et al. On the momentum term in gradient descent learning algorithms , 1999, Neural Networks.
[18] Cordelia Schmid,et al. Weakly Supervised Learning of Interactions between Humans and Objects , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Fei-Fei Li,et al. Modeling mutual context of object and human pose in human-object interaction activities , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[20] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[21] Shih-Fu Chang,et al. PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[22] HeKaiming,et al. Faster R-CNN , 2017 .
[23] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[25] Paul A. Viola,et al. Robust Real-time Object Detection , 2001 .
[26] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Larry S. Davis,et al. Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Xiaogang Wang,et al. ViP-CNN: Visual Phrase Guided Convolutional Neural Network , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] 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.
[30] Mark Sandler,et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[31] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Thomas Deselaers,et al. What is an object? , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[33] Frank Keller,et al. Extreme Clicking for Efficient Object Annotation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[34] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Bo Dai,et al. Detecting Visual Relationships with Deep Relational Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Kaiming He,et al. Detecting and Recognizing Human-Object Interactions , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[37] Michael S. Bernstein,et al. Visual Relationship Detection with Language Priors , 2016, ECCV.
[38] Abhinav Gupta,et al. Learning from Noisy Large-Scale Datasets with Minimal Supervision , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Danfei Xu,et al. Scene Graph Generation by Iterative Message Passing , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Sergio Guadarrama,et al. Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Eric P. Xing,et al. Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Shih-Fu Chang,et al. Visual Translation Embedding Network for Visual Relation Detection , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[44] Pietro Perona,et al. One-shot learning of object categories , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] Frank Keller,et al. We Don’t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] David A. McAllester,et al. Cascade object detection with deformable part models , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[47] François Chollet,et al. Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[48] Christoph H. Lampert,et al. Detecting Visual Relationships Using Box Attention , 2018, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[49] Chen Sun,et al. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[50] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[51] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[52] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[53] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[54] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[55] Jitendra Malik,et al. Visual Semantic Role Labeling , 2015, ArXiv.
[56] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[57] Luc Van Gool,et al. The Pascal Visual Object Classes Challenge: A Retrospective , 2014, International Journal of Computer Vision.
[58] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[59] Ross B. Girshick,et al. Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[60] Yejin Choi,et al. Neural Motifs: Scene Graph Parsing with Global Context , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[61] Vittorio Ferrari,et al. Revisiting Knowledge Transfer for Training Object Class Detectors , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.