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Just like many other topics in computer vision, image classification has achieved significant progress recently by using deep-learning neural networks, especially the Convolutional Neural Networks (CNN).
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2006
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J. Wei, C. F. Li, S. M. Hu, R. R. Martin, and C. L. Tai, “Fisheye video correction,” IEEE Transactions on Visualization and Computer Graphics , 2012
2012
Cited alongside, same era.
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2013
Cited alongside, same era.
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2013
Cited alongside, same era.
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2015
Cited alongside, same era.
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T. Durand, T. Mordan, N. Thome, and M. Cord, “Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation,” in Computer Vision and Pattern Recognition . IEEE, 2017
2017
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2017
Later among the works it cites.
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2015
Cited alongside, same era.
Q. Zhu, J. Mai, and L. Shao, “A fast single image haze removal algorithm using color attenuation prior,” Transactions on Image Processing , 2015
2015
Cited alongside, same era.
Y. Li, R. T. Tan, and M. S. Brown, “Nighttime haze removal with glow and multiple light colors,” in International Conference on Computer Vision . IEEE, 2015
2015
Cited alongside, same era.
J. Sun, W. Cao, Z. Xu, and J. Ponce, “Learning a convolutional neural network for non-uniform motion blur removal,” in Computer Vision and Pattern Recognition . IEEE, 2015
2015
Cited alongside, same era.
F. Liu, C. Shen, and G. Lin, “Deep convolutional neural fields for depth estimation from a single image,” in Computer Vision and Pattern Recognition . IEEE, 2015
2015
Cited alongside, same era.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Computer Vision and Pattern Recognition . IEEE, 2016
2016
Cited alongside, same era.
S. Karahan, M. K. Yildirum, K. Kirtac, F. S. Rende, G. Butun, and H. K. Ekenel, “How image degradations affect deep cnn-based face recognition?” in Biometrics Special Interest Group (BIOSIG), 2016 International Conference of the . IEEE, 2016
2016
Cited alongside, same era.
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2016
Cited alongside, same era.
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2017
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2017
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2017
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2017
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2017
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2017
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2017
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O. Krams and N. Kiryati, “People detection in top-view fisheye imaging,” in Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on . IEEE, 2017
2017
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A. A. Rajeev, S. Hiranwal, and V. K. Sharma, “Improved segmentation technique for underwater images based on k-means and local adaptive thresholding,” in Information and Communication Technology for Sustainable Development . Springer, 2018
2018
Closest in time.
Z. Chen, Z. Zhang, Y. Bu, F. Dai, T. Fan, and H. Wang, “Underwater object segmentation based on optical features,” Sensors , 2018
2018
Closest in time.
X. Li, Y. Pi, Y. Jia, Y. Yang, Z. Chen, and W. Hou, “Fisheye image rectification using spherical and digital distortion models,” in MIPPR 2017: Multispectral Image Acquisition, Processing, and Analysis . International Society for Optics and Photonics, 2018
2018
Closest in time.