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- W3215715903 abstract "Visual Place Recognition (VPR) is generally concerned with localizing outdoorimages. However, localizing indoor scenes that contain part of an outdoor scenecan be of large value for a wide range of applications. In this paper, weintroduce Inside Out Visual Place Recognition (IOVPR), a task aiming tolocalize images based on outdoor scenes visible through windows. For this taskwe present the new large-scale dataset Amsterdam-XXXL, with images taken inAmsterdam, that consists of 6.4 million panoramic street-view images and 1000user-generated indoor queries. Additionally, we introduce a new trainingprotocol Inside Out Data Augmentation to adapt Visual Place Recognition methodsfor localizing indoor images, demonstrating the potential of Inside Out VisualPlace Recognition. We empirically show the benefits of our proposed dataaugmentation scheme on a smaller scale, whilst demonstrating the difficulty ofthis large-scale dataset for existing methods. With this new task we aim toencourage development of methods for IOVPR. The dataset and code are availablefor research purposes at https://github.com/saibr/IOVPR" @default.
- W3215715903 created "2021-12-06" @default.
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- W3215715903 date "2021-11-26" @default.
- W3215715903 modified "2023-09-23" @default.
- W3215715903 title "Inside Out Visual Place Recognition" @default.
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