In this paper, we provide to consider the multiple correlations from a unified perspective and propose a new method called MetricFormer.
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity ...
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Oct 31, 2022 · The proposed MetricFormer introduces a correlation-aware transformer into the internal structure of deep metric networks. It can be flexibly ...
In this paper, we provide a unified perspective to learn the multiple correlations and propose a metric transformer framework, named MetricFormer, which enables ...
Apr 3, 2024 · Similarity learning can be significantly advanced by informative relationships among different samples and features.
Metricformer: A unified perspective of correlation exploring in similarity learning. J Yan, E Yang, C Deng, H Huang. Advances in Neural Information Processing ...
Metricformer: A unified perspective of correlation exploring in similarity learning. J Yan, E Yang, C Deng, H Huang. Advances in Neural Information Processing ...
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning. NeurIPS 2022; 2021. [c3]. view. electronic edition @ thecvf.com (open ...
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning · Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang. Published: 31 Oct 2022 ...
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning. Thirty-Sixth Conference on Neural Information Processing Systems ...
In International Conference on Computer Vision (ICCV), 2023. MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning [PDF]. J ...