Faster R-CNN Features for Instance Search
暂无分享,去创建一个
Shin'ichi Satoh | Ferran Marqués | Amaia Salvador | Xavier Giró-i-Nieto | F. Marqués | S. Satoh | Xavier Giró-i-Nieto | Amaia Salvador
[1] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[2] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[3] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[4] Victor S. Lempitsky,et al. Aggregating Local Deep Features for Image Retrieval , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[5] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[8] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[9] Michael Isard,et al. Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[10] Qi Tian,et al. Multimedia search reranking: A literature survey , 2014, CSUR.
[11] Chong-Wah Ngo,et al. Topological Spatial Verification for Instance Search , 2015, IEEE Transactions on Multimedia.
[12] Simon Osindero,et al. Cross-Dimensional Weighting for Aggregated Deep Convolutional Features , 2015, ECCV Workshops.
[13] Ronan Sicre,et al. Particular object retrieval with integral max-pooling of CNN activations , 2015, ICLR.
[14] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[15] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Jonathan T. Barron,et al. Multiscale Combinatorial Grouping , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Andrew Zisserman,et al. Three things everyone should know to improve object retrieval , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Paul Over,et al. Evaluation campaigns and TRECVid , 2006, MIR '06.
[20] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[21] Tsuhan Chen,et al. Image retrieval with geometry-preserving visual phrases , 2011, CVPR 2011.
[22] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[23] Atsuto Maki,et al. A Baseline for Visual Instance Retrieval with Deep Convolutional Networks , 2014, ICLR 2015.
[24] 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.
[25] David Stutz,et al. Neural Codes for Image Retrieval , 2015 .
[26] Michael Isard,et al. Object retrieval with large vocabularies and fast spatial matching , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Michael Isard,et al. Lost in quantization: Improving particular object retrieval in large scale image databases , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[28] JegouHerve,et al. Improving Bag-of-Features for Large Scale Image Search , 2010 .