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In this work we propose a new CNN+LSTM architecture for camera pose regression for indoor and outdoor scenes.
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DisLocation: Scalable descriptor distinctiveness for location recognition
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Painting-to-3D Model Alignment via Discriminative Visual Elements
Aubry, Mathieu and Russell, Bryan C. and Sivic, Josef · 2014
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Minimal Scene Descriptions from Structure from Motion Models
S. Cao and N. Snavely · 2014
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Discriminative Feature-to-Point Matching in Image-Based Locallization
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Rich feature hierarchies for accurateobject detection and semantic segmentation
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Going deeper with convolutions
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24/7 place recognition by view synthesis
A. Torii, R. Arandjelović, J. Sivic, M. Okutomi, and T. Pajdla · 2015
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Exploiting Uncertainty in Regression Forests for Accurate Camera Relocalization
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NetVLAD: CNN architecture for weakly supervised place recognition
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Multi-Output Learning for Camera Relocalization
A. Guzman-Rivera, P. Kohli, B. Glocker, J. Shotton, T. Sharp, A. Fitzgibbon, and S. Izadi · 2014
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Sequence to sequence learning with neural networks
I. Sutskever, O. Vinyals, and Q. V. Le · 2014
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Image Geo-Localization Based on Multiple Nearest Neighbor Feature Matching Using Generalized Graphs
A. R. Zamir and M. Shah · 2014
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Learning deep features for scene recognition using places database
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva · 2014
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Scene labeling with lstm recurrent neural networks
W. Byeon, T. M. Breuel, F. Raue, and M. Liwicki · 2015
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Long-term recurrent convolutional networks for visual recognition and description
J. Donahue, L. A. Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, and T. Darrell · 2015
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R. Arandjelović, P. Gronat, A. Torii, T. Pajdla, and J. Sivic · 2016
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Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
S. Bell, C. L. Zitnick, K. Bala, and R. Girshick · 2016
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Uncertainty-driven 6d pose estimation of objects and scenes from a single rgb image
E. Brachmann, F. Michel, A. Krull, M. Y. Yang, S. Gumhold, and C. Rother · 2016
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Fusenet: Incorporating depth into semantic segmentation via fusion-based cnn architecture
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Deep residual learning for image recognition
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Modelling uncertainty in deep learning for camera relocalization
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Pushing the boundaries of boundary detection using deep learning
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Semantic object parsing with local-global long short-term memory
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Convolutional oriented boundaries
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Large-Scale Location Recognition And The Geometric Burstiness Problem
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Efficient & Effective Prioritized Matching for Large-Scale Image-Based Localization
T. Sattler, B. Leibe, and L. Kobbelt · 2016
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Structure-from-motion revisited
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City-Scale Localization for Cameras with Known Vertical Direction
L. Svärm, O. Enqvist, F. Kahl, and M. Oskarsson · 2016
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A siamese long short-term memory architecture for human re-identification
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Planet - photo geolocation with convolutional neural networks
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DSAC - Differentiable RANSAC for Camera Localization
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Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?
T. Sattler, A. Torii, J. Sivic, M. Pollefeys, H. Taira, M. Okutomi, and T. Pajdla · 2017
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