Web: http://arxiv.org/abs/2209.06209

Sept. 15, 2022, 1:13 a.m. | Zijie Wang, Aichun Zhu, Jingyi Xue, Xili Wan, Chao Liu, Tian Wang, Yifeng Li

cs.CV updates on arXiv.org arxiv.org

The core problem of text-based person retrieval is how to bridge the
heterogeneous gap between multi-modal data. Many previous approaches contrive
to learning a latent common manifold mapping paradigm following a
\textbf{cross-modal distribution consensus prediction (CDCP)} manner. When
mapping features from distribution of one certain modality into the common
manifold, feature distribution of the opposite modality is completely
invisible. That is to say, how to achieve a cross-modal distribution consensus
so as to embed and align the multi-modal features in …

arxiv consistent manifold person retrieval text

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