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Object detection is an important and challenging problem in computer vision.
Introduction to a large-scale general purpose ground truth database: Methodology, annotation tool and benchmarks
B. Yao, X. Yang, and S.-C. Zhu · 2007
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Learning spatial context: Using stuff to find things
G. Heitz and D. Koller · 2008
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L. Li, K. Li, and F. Li · 2009
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The pascal visual object classes (VOC) challenge
M. Everingham, L. V. Gool, C. Williams, J. Winn, and A. Zisserman · 2010
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A hierarchical and contextual model for aerial image parsing
J. Porway, Q. Wang, and S. C. Zhu · 2010
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SUN database: Large-scale scene recognition from abbey to zoo
J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba · 2010
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Unbiased look at dataset bias
A. Torralba and A. A. Efros · 2011
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Building development monitoring in multitemporal remotely sensed image pairs with stochastic birth-death dynamics
C. Benedek, X. Descombes, and J. Zerubia · 2012
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Detecting texts of arbitrary orientations in natural images
C. Yao, X. Bai, W. Liu, Y. Ma, and Z. Tu · 2012
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Automated detection of arbitrarily shaped buildings in complex environments from monocular VHR optical satellite imagery
A. Ö. Ok, Ç. Senaras, and B. Yüksel · 2013
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Microsoft COCO: common objects in context
T. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Detecting cars in uav images with a catalog-based approach
T. Moranduzzo and F. Melgani · 2014
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Learning deep features for scene recognition using places database
B. Zhou, À. Lapedriza, J. Xiao, A. Torralba, and A. Oliva · 2014
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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ICDAR 2015 competition on robust reading
D. Karatzas, L. Gomez-Bigorda, A. Nicolaou, S. K. Ghosh, A. D. Bagdanov, M. Iwamura, J. Matas, L. Neumann, V. R. Chandrasekhar, S. Lu, F. Shafait, S. Uchida, and E. Valveny · 2015
Cited alongside, same era.
Rotation-invariant object detection in remote sensing images based on radial-gradient angle
Y. Lin, H. He, Z. Yin, and F. Chen · 2015
Cited alongside, same era.
Fast multiclass vehicle detection on aerial images
K. Liu and G. Máttyus · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
Cited alongside, same era.
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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Vehicle detection in aerial imagery: A small target detection benchmark
S. Razakarivony and F. Jurie · 2016
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YOLO9000: better, faster, stronger
J. Redmon and A. Farhadi · 2016
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WIDER FACE: A face detection benchmark
S. Yang, P. Luo, C. C. Loy, and X. Tang · 2016
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Building a large scale dataset for image emotion recognition: The fine print and the benchmark
Q. You, J. Luo, H. Jin, and J. Yang · 2016
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Weakly supervised learning based on coupled convolutional neural networks for aircraft detection
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M. Vakalopoulou, K. Karantzalos, N. Komodakis, and N. Paragios · 2015
Cited alongside, same era.
Orientation robust object detection in aerial images using deep convolutional neural network
H. Zhu, X. Chen, W. Dai, K. Fu, Q. Ye, and J. Jiao · 2015
Cited alongside, same era.
Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images
G. Cheng, P. Zhou, and J. Han · 2016
Cited alongside, same era.
Rifd-cnn: Rotation-invariant and fisher discriminative convolutional neural networks for object detection
G. Cheng, P. Zhou, and J. Han · 2016
Cited alongside, same era.
R-FCN: object detection via region-based fully convolutional networks
J. Dai, Y. Li, K. He, and J. Sun · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
SSD: single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. E. Reed, C. Fu, and A. C. Berg · 2016
Cited alongside, same era.
F. Zhang, B. Du, L. Zhang, and M. Xu · 2016
Later among the works it cites.
Earth observation image semantic bias: A collaborative user annotation approach
A.-M. de Oca, R. Bahmanyar, N. Nistor, and M. Datcu · 2017
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
R. Krishna, Y. Zhu, O. Groth, J. Johnson, K. Hata, J. Kravitz, S. Chen, Y. Kalantidis, L.-J. Li, D. A. Shamma, et al · 2017
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Accurate object localization in remote sensing images based on convolutional neural networks
Y. Long, Y. Gong, Z. Xiao, and Q. Liu · 2017
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Extreme clicking for efficient object annotation
D. P. Papadopoulos, J. R. R. Uijlings, F. Keller, and V. Ferrari · 2017
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Faster R-CNN: towards real-time object detection with region proposal networks
S. Ren, K. He, R. B. Girshick, and J. Sun · 2017
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Affine invariant description and large-margin dimensionality reduction for target detection in optical remote sensing images
L. Wan, L. Zheng, H. Huo, and T. Fang · 2017
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Feature extraction by rotation-invariant matrix representation for object detection in aerial image
G. Wang, X. Wang, B. Fan, and C. Pan · 2017
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