1 |
Karen Simonyan, Andrew Zisserman, "Very Deep Convolutional Networks for large-scale image recognition'(VGGNet)", Computer Vision and Pattern Recognition, cs.CV in Sep. 2014, ICLR 2015. arXiv:1409.1556
|
2 |
Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger, "Densely Connected Convolutional Networks", Computer Vision and Pattern Recognition, cs.CV in Aug. 2016, CVPR 2017. arXiv:1608.06993
|
3 |
Mingxing Tan, Quoc V. Le, "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks" Machine Learning, cs.LG in May 2019, ICML 2019. arXiv:1905.11946
|
4 |
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie, "A ConvNet for the 2020s," Computer Vision and Pattern Recognition, cs.CV in Jan. 2022, CVPR 2022. arXiv:2201.03545
|
5 |
Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam, "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" Computer Vision and Pattern Recognition, cs.CV in Apr. 2017, CVPR 2017. arXiv:1704.04861
|
6 |
Gregory Koch, Richard Zemel, "Ruslan Salakhutdinov, "Siamese Neural Networks for One-shot Image Recognition", Proceedings of the 32nd International Conference on Machine Learning, Lille, France, 2015. JMLR: W&CP volume 37
|
7 |
Grigori Sidorov, Alexander Gelbukh, Helena Gomez-Adorno, and David Pinto, "Soft Similarity and Soft Cosine Measure: Similarity of Features in Vector Space Model", Computacionary Sistemas Vol. 18, No. 3, pp. 491-504, Sep. 2014.
|
8 |
Weijian Deng, Liang Zheng, Qixiang Ye, Guoliang Kang, Yi Yang, Jianbin Jiao, "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification", Computer Vision and Pattern Recognition, cs.CV in Jul. 2017, CVPR 2018. arXiv:1711.07027
|
9 |
Florian Schroff, Dmitry Kalenichenko, James Philbin, "FaceNet: A Unified Embedding for Face Recognition and Clustering", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Jun. 2015. DOI:10.1109/CVPR.2015.7298682
DOI
|
10 |
Conghui Hu, Gim Hee Lee, "Feature Representation Learning for Unsupervised Cross-domain Image Retrieval", Computer Vision and Pattern Recognition, cs.CV in Jul. 2022. ECCV 2022. arXiv:2207.09721
|
11 |
Xiaoping Zhou, Xiangyu Han, Haoran Li, Jia Wang, Xun Liang, "Cross-domain image retrieval: methods and applications", International Journal of Multimedia Information Retrieval, Vol 11, pp 199-218, Jul. 2022.
DOI
|
12 |
Qingjie Meng, Daniel Rueckert, Bernhard Kainz "Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment", Machine Learning, cs.LG in Aug. 2020, arXiv:2008.08433
|
13 |
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun Microsoft Research "Deep Residual Learning for Image Recognition," Computer Vision and Pattern Recognition, Tech report pp770-778, 2015.
|
14 |
Seong-Hoon Kim, Zong Woo Geem, Gi-Tae Han, "Hyperparameter optimization method based on harmony search algorithm to improve performance of 1D CNN human respiration pattern recognition system", Sensors 2020, 20, 3697(Published: 1 July 2020). DOI:10.3390/s20133697
DOI
|
15 |
Raia Hadsell, Sumit Chopra, Yann LeCun, "Dimensionality Reduction by Learning an Invariant Mapping", 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), Jun. 2006. DOI:10.1109/CVPR.2006.100
DOI
|