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We introduce a new large-scale dataset for the advancement of object detection techniques and overhead object detection research.
Real-time accurate object detection using multiple resolutions
W. Zhang, G. J. Zelinsky, and D. Samaras · 2007
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2013
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Global-scale object detection using satellite imagery
R. Hamid, S. O’Hara, and M. Tabb · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Lr-cnn for fine-grained classification with varying resolution
M. Chevalier, N. Thome, M. Cord, J. Fournier, G. Henaff, and E. Dusch · 2015
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Object detection in low-resolution image via sparse representation
W. Fang, J. Chen, C. Liang, X. Wang, Y. Nan, R. Hu, and S. Luo · 2015
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Human-level concept learning through probabilistic program induction
B. M. Lake, R. Salakhutdinov, and J. B. Tenenbaum · 2015
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Human-level concept learning through probabilistic program induction
B. M. Lake, R. Salakhutdinov, and J. B. Tenenbaum · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
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J. T. Turner, K. M. Gupta, B. T. Morris, and D. W. Aha · 2015
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Object detection in high resolution satellite images
T. Azayev · 2016
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A unified multi-scale deep convolutional neural network for fast object detection
Z. Cai, Q. Fan, R. S. Feris, and N. Vasconcelos · 2016
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R-fcn: Object detection via region-based fully convolutional networks
J. Dai, Y. Li, K. He, and J. Sun · 2016
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Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale
A. Albert, J. Kaur, and M. C. Gonzalez · 2017
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Learning oriented region- based convolutional neural networks for building detection in satellite remote sensing images
C. Chen, W. Gong, Y. Hu, Y. Chen, and Y. Ding · 2017
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Functional Map of the World
G. Christie, N. Fendley, J. Wilson, and R. Mukherjee · 2017
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Low-shot visual recognition by shrinking and hallucinating features
B. Hariharan and R. B. Girshick · 2017
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Fine-grained recognition of thousands of object categories with single-example training
L. Karlinsky, J. Shtok, Y. Tzur, and A. Tzadok · 2017
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Openimages: A public dataset for large-scale multi-label and multi-class image classification
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Detection by classification of buildings in multispectral satellite imagery
T. Ishii, E. Simo-Serra, S. Iizuka, Y. Mochizuki, A. Sugimoto, H. Ishikawa, and R. Nakamura · 2016
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Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
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A large contextual dataset for classification, detection and counting of cars with deep learning
T. N. Mundhenk, G. Konjevod, W. A. Sakla, and K. Boakye · 2016
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You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
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Matching networks for one shot learning
O. Vinyals, C. Blundell, T. Lillicrap, K. Kavukcuoglu, and D. Wierstra · 2016
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Spacenet on aws
D. Lindenbaum
Cited in the paper.
I. Krasin, T. Duerig, N. Alldrin, V. Ferrari, S. Abu-El-Haija, A. Kuznetsova, H. Rom, J. Uijlings, S. Popov, A. Veit, S. Belongie, V. Gomes, A. Gupta, C. Sun, G. Chechik, D. Cai, Z. Feng, D. Narayanan, and K. Murphy · 2017
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2017
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Zoom out-and-in network with map attention decision for region proposal and object detection
H. Li, Y. Liu, W. Ouyang, and X. Wang · 2017
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A survey on deep learning-based fine-grained object classification and semantic segmentation
B. Zhao, J. Feng, X. Wu, and S. Yan · 2017
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