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@inproceedings{bb113254,
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        TITLE = "Geometric Visual Similarity Learning in 3D Medical Image
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@inproceedings{bb113256,
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@inproceedings{bb113257,
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        TITLE = "ASpanFormer:
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@inproceedings{bb113258,
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@inproceedings{bb113259,
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        TITLE = "An Algebraic Optimization Approach To Image Registration",
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@inproceedings{bb113260,
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        TITLE = "Learning an Adaptation Function to Assess Image Visual Similarities",
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@inproceedings{bb113261,
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        TITLE = "Co-Attention for Conditioned Image Matching",
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        PAGES = "15915-15924",
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@article{bb113262,
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        TITLE = "A Novel Iterative Rigid Image Registration Algorithm Based on the
Newton Method",
        JOURNAL = IJIG,
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        NUMBER = "2 2021",
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@inproceedings{bb113263,
        AUTHOR = "Min, J.H. and Lee, J.M. and Ponce, J. and Cho, M.S.",
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@inproceedings{bb113264,
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        TITLE = "Perceptnet: A Human Visual System Inspired Neural Network For
Estimating Perceptual Distance",
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@inproceedings{bb113265,
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        TITLE = "Deep Graphical Feature Learning for the Feature Matching Problem",
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@inproceedings{bb113266,
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        TITLE = "Linearly Converging Quasi Branch and Bound Algorithms for Global
Rigid Registration",
        BOOKTITLE = ICCV19,
        YEAR = "2019",
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@inproceedings{bb113267,
        AUTHOR = "Yin, Z.C. and Darrell, T.J. and Yu, F.",
        TITLE = "Hierarchical Discrete Distribution Decomposition for Match Density
Estimation",
        BOOKTITLE = CVPR19,
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@inproceedings{bb113268,
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        TITLE = "Two Images Comparison with Invariance to Illumination Properties",
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@inproceedings{bb113269,
        AUTHOR = "Kurzejamski, G. and Komorowski, J. and Dabala, L. and Czarnota, K. and Lynen, S. and Trzcinski, T.",
        TITLE = "SupernCN: Neighbourhood Consensus Network for Robust Outdoor Scenes
Matching",
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@inproceedings{bb113270,
        AUTHOR = "Trzcinski, T. and Komorowski, J. and Dabala, L. and Czarnota, K. and Kurzejamski, G. and Lynen, S.",
        TITLE = "SConE: Siamese Constellation Embedding Descriptor for Image Matching",
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@inproceedings{bb113271,
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@inproceedings{bb113272,
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@inproceedings{bb113273,
        AUTHOR = "Sevilmis, B. and Kimia, B.B. and Sevilmis, B. and Kimia, B.B.",
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@inproceedings{bb113274,
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@inproceedings{bb113275,
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@inproceedings{bb113276,
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@inproceedings{bb113277,
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@inproceedings{bb113278,
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@inproceedings{bb113279,
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@inproceedings{bb113280,
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@inproceedings{bb113281,
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@inproceedings{bb113282,
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Correspondence Enrichment",
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@inproceedings{bb113283,
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Association Rule Mining",
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@inproceedings{bb113284,
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@inproceedings{bb113286,
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@inproceedings{bb113287,
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@inproceedings{bb113293,
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@inproceedings{bb113294,
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@inproceedings{bb113296,
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@inproceedings{bb113298,
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@inproceedings{bb113299,
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