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Planet-scale image geolocalization remains a challenging problem due to the diversity of images originating from anywhere in the world.
OPTICS: Ordering Points to Identify the Clustering Structure
Ankerst, M., Breunig, M. M., Kriegel, H.-P., and Sander, J · 1999
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Weyand, T., Araujo, A., Cao, B., and Sim, J · 2004
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IM2GPS: estimating geographic information from a single image
Hays, J. and Efros, A. A · 2008
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Mapping the World’s Photos
Crandall, D., Backstrom, L., Huttenlocher, D., and Kleinberg, J · 2009
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Accurate Image Localization Based on Google Maps Street View
Zamir, A. R. and Shah, M · 2010
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Large Scale Visual Geo-Localization of Images in Mountainous Terrain
Baatz, G., Saurer, O., Köser, K., and Pollefeys, M · 2012
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BlueFinder: Estimate Where a Beach Photo Was Taken
Cao, L., Smith, J. R., Wen, Z., Yin, Z., Jin, X., and Han, J · 2012
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ImageNet Classification with Deep Convolutional Neural Networks
Krizhevsky, A., Sutskever, I., and Hinton, G. E · 2012
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Cross-View Image Geolocalization
Lin, T.-Y., Belongie, S., and Hays, J · 2013
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User-Driven Geolocation of Untagged Desert Imagery Using Digital Elevation Models
Tzeng, E., Zhai, A., Clements, M., Townshend, R., and Zakhor, A · 2013
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Image Geo-Localization Based on Multiple Nearest Neighbor Feature Matching UsingGeneralized Graphs
Zamir, A. R. and Shah, M · 2014
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Artificial Neural Networks Applied to Taxi Destination Prediction, 2015
de Brebisson, A., Simon, E., Auvolat, A., Vincent, P., and Bengio, Y · 2015
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Image Based Geo-localization in the Alps
Saurer, O., Baatz, G., Köser, K., Ladický, L., and Pollefeys, M · 2016
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PlaNet - Photo Geolocation with Convolutional Neural Networks
Weyand, T., Kostrikov, I., and Philbin, J · 2016
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Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States
Gebru, T., Krause, J., Wang, Y., Chen, D., Deng, J., Aiden, E. L., and Fei-Fei, L · 2017
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MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications, 2017
Howard, A. G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., and Adam, H · 2017
Cited alongside, same era.
The Benchmarking Initiative for Multimedia Evaluation: MediaEval 2016
Larson, M., Soleymani, M., Gravier, G., Ionescu, B., and Jones, G. J · 2017
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Prototypical Networks for Few-shot Learning
Snell, J., Swersky, K., and Zemel, R. S · 2017
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Attention Is All You Need, 2017
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., and Polosukhin, I · 2017
Cited alongside, same era.
Revisiting IM2GPS in the Deep Learning Era, 2017
Vo, N., Jacobs, N., and Hays, J · 2017
Cited alongside, same era.
Interpretable Semantic Photo Geolocation, 2021
Theiner, J., Mueller-Budack, E., and Ewerth, R · 2021
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Cross-view Geo-localization with Layer-to-Layer Transformer
Yang, H., Lu, X., and Zhu, Y · 2021
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Rethinking Visual Geo-localization for Large-Scale Applications, 2022
Berton, G., Masone, C., and Caputo, B · 2022
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GADM Version 4.1, 2022
GADM · 2022
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Gˆ3: Geolocation via Guidebook Grounding
Luo, G., Biamby, G., Darrell, T., Fried, D., and Rohrbach, A · 2022
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Where in the World is this Image? Transformer-based Geo-localization in the Wild, 2022
Pramanick, S., Nowara, E. M., Gleason, J., Castillo, C. D., and Chellappa, R · 2022
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Present and future Köppen-Geiger climate classification maps at 1-km resolution
Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A., and Wood, E. F · 2018
Cited alongside, same era.
Geolocation Estimation of Photos Using a Hierarchical Model and Scene Classification
Müller-Budack, E., Pustu-Iren, K., and Ewerth, R · 2018
Cited alongside, same era.
CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps, 2018
Seo, P. H., Weyand, T., Sim, J., and Han, B · 2018
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DeepGeo: Photo Localization with Deep Neural Network, 2018
Suresh, S., Chodosh, N., and Abello, M · 2018
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Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications, 2021
Agarwal, S., Krueger, G., Clark, J., Radford, A., Kim, J. W., and Brundage, M · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale
Kolesnikov, A., Dosovitskiy, A., Weissenborn, D., Heigold, G., Uszkoreit, J., Beyer, L., Minderer, M., Dehghani, M., Houlsby, N., Gelly, S., Unterthiner, T., and Zhai, X · 2021
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Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation, 2021
Kordopatis-Zilos, G., Galopoulos, P., Papadopoulos, S., and Kompatsiaris, I · 2021
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CrossLocate: Cross-Modal Large-Scale Visual Geo-Localization in Natural Environments Using Rendered Modalities
Tomešek, J., Čadík, M., and Brejcha, J · 2022
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IM2City: Image Geo-Localization via Multi-Modal Learning
Wu, M. and Huang, Q · 2022
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TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization, 2022
Zhu, S., Shah, M., and Chen, C · 2022
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Where We Are and What We’re Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes, 2023
Clark, B., Kerrigan, A., Kulkarni, P. P., Cepeda, V. V., and Shah, M · 2023
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Learning generalized zero-shot learners for open-domain image geolocalization, 2023
Haas, L., Alberti, S., and Skreta, M · 2023
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Self-destructing models: Increasing the costs of harmful dual uses of foundation models, 2023
Henderson, P., Mitchell, E., Manning, C. D., Jurafsky, D., and Finn, C · 2023
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A Geography Game Has Its First Superstar. Can It Survive Its First Player Revolt?, 2023
Lucas, J · 2023
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GPT-4V(ision) System Card, September 2023
OpenAI · 2023
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