Sep 27, 2021 · This paper presents heterogeneous contrastive learning (HCL), an effective approach that adds spatial information to the encoding stage to ...
This paper presents heterogeneous contrastive learning (HCL), an effective approach that adds spatial information to the encoding stage to alleviate the ...
Nov 19, 2020 · This paper presents heterogeneous contrastive learning (HCL), an effective approach that adds spatial information to the encoding stage to ...
Apr 28, 2022 · Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations (Xinyue Huo, Lingxi Xie, Longhui Wei ...
Heterogeneous contrastive learning: Encoding spatial information for compact visual representations. arXiv preprint arXiv:2011.09941 (2020). Google Scholar.
Contrastive learning has achieved great success in self-supervised visual representation learning, but existing approaches mostly ignored spatial information ...
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations · Xinyue HuoLingxi Xie +6 authors. Qi Tian. Computer Science.
Contrastive learning has achieved great success in self-supervised visual representation learning, but existing approaches mostly ignored spatial information ...
May 27, 2024 · MuCoST uses gene expression profile and spatial location information of SRT data as input data. Spatially adjacent graph, co-expression graph ...
Finally, we propose a heterogeneous graph attention network to aggregate information from both the structural neighborhood and semantic neighborhood separately.
Missing: Compact | Show results with:Compact