Interactive Full Image Segmentation by Considering All Regions Jointly
暂无分享,去创建一个
[1] Sanja Fidler,et al. Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++ , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[2] Xiaogang Wang,et al. Learning Object Interactions and Descriptions for Semantic Image Segmentation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Marie-Pierre Jolly,et al. Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images , 2001, ICCV.
[4] 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).
[5] Christoph H. Lampert,et al. Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation , 2016, ECCV.
[6] M. Serrão,et al. Computer vision and GIS for the navigation of blind persons in buildings , 2013, Universal Access in the Information Society.
[7] Andrew Blake,et al. Geodesic star convexity for interactive image segmentation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[8] Ning Xu,et al. Deep Interactive Object Selection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Daniel Cremers,et al. Co-Sparse Textural Similarity for Interactive Segmentation , 2014, ECCV.
[11] 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.
[12] Arijit Biswas,et al. Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Subhransu Maji,et al. Similarity Comparisons for Interactive Fine-Grained Categorization , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Li Fei-Fei,et al. DenseCap: Fully Convolutional Localization Networks for Dense Captioning , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Carsten Rother,et al. DenseCut: Densely Connected CRFs for Realtime GrabCut , 2015, Comput. Graph. Forum.
[16] Devi Parikh,et al. Attributes for Classifier Feedback , 2012, ECCV.
[17] Zhuwen Li,et al. Interactive Image Segmentation with Latent Diversity , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] Luc Van Gool,et al. Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[19] Kristen Grauman,et al. What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[21] Yang Hu,et al. A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation , 2018, Neural Networks.
[22] Kaiming He,et al. Mask R-CNN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[23] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Jia Xu,et al. Learning to segment under various forms of weak supervision , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Nassir Navab,et al. Guide Me: Interacting with Deep Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[26] Guillermo Sapiro,et al. Geodesic Matting: A Framework for Fast Interactive Image and Video Segmentation and Matting , 2009, International Journal of Computer Vision.
[27] Bo Han,et al. TouchCut: Fast image and video segmentation using single-touch interaction , 2014, Comput. Vis. Image Underst..
[28] M. Welling,et al. Region-Based Semantic Segmentation with End-to-End Training , 2016 .
[29] Sim Heng Ong,et al. Regional Interactive Image Segmentation Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[30] Christoph H. Lampert,et al. Learning Intelligent Dialogs for Bounding Box Annotation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[31] Sanja Fidler,et al. Annotating Object Instances with a Polygon-RNN , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Jian Sun,et al. ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Jiebo Luo,et al. Interactively Co-segmentating Topically Related Images with Intelligent Scribble Guidance , 2011, International Journal of Computer Vision.
[34] Vladimir Vezhnevets,et al. “GrowCut”-Interactive Multi-Label N-D Image Segmentation By Cellular Automata , 2005 .
[35] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Xiaogang Wang,et al. Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Patrick Pérez,et al. Geodesic image and video editing , 2010, TOGS.
[38] Andreas Geiger,et al. Vision meets robotics: The KITTI dataset , 2013, Int. J. Robotics Res..
[39] Long-Wen Chang,et al. Tap and Shoot Segmentation , 2018, AAAI.
[40] Fei-Fei Li,et al. Best of both worlds: Human-machine collaboration for object annotation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Trevor Darrell,et al. Constrained Convolutional Neural Networks for Weakly Supervised Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[42] Kristen Grauman,et al. What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations , 2009, CVPR.
[43] Carsten Rother,et al. Panoptic Segmentation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Bastian Leibe,et al. Iteratively Trained Interactive Segmentation , 2018, BMVC.
[45] Vittorio Ferrari,et al. COCO-Stuff: Thing and Stuff Classes in Context , 2016, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[46] Andrew Blake,et al. "GrabCut" , 2004, ACM Trans. Graph..
[47] Pietro Perona,et al. Visual Recognition with Humans in the Loop , 2010, ECCV.
[48] Luc Van Gool,et al. Deep Extreme Cut: From Extreme Points to Object Segmentation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[49] Bernt Schiele,et al. Simple Does It: Weakly Supervised Instance and Semantic Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[51] Yunchao Wei,et al. Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[52] Frank Keller,et al. Extreme Clicking for Efficient Object Annotation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[53] Marie-Pierre Jolly,et al. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[54] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Hailin Jin,et al. Interactive Boundary Prediction for Object Selection , 2018, ECCV.
[56] Vittorio Ferrari,et al. Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation , 2018, ACM Multimedia.
[57] Horst Bischof,et al. Interactive Multi-label Segmentation , 2010, ACCV.
[58] Daniel Cremers,et al. Spatially Varying Color Distributions for Interactive Multilabel Segmentation , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[59] Fei-Fei Li,et al. What's the Point: Semantic Segmentation with Point Supervision , 2015, ECCV.
[60] Noah Snavely,et al. Material recognition in the wild with the Materials in Context Database , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[61] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[62] Thomas Brox,et al. Video Segmentation with Just a Few Strokes , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).