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T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation

Research article (2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021) · cited 49× · AI/ML
academia openalex:W3202176705
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T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation

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T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation is a scholarly article[1].

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. Retrieved May 24, 2026, from https://4ort.xyz/entity/t-svdnet-exploring-high-order-prototypical-correlations-for-multi-source-domain-adaptation
MLA “T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/t-svdnet-exploring-high-order-prototypical-correlations-for-multi-source-domain-adaptation.
BibTeX @misc{4ortxyz_t-svdnet-exploring-high-order-prototypical-correlations-for-multi-source-domain-adaptation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation}}, year = {2026}, url = {https://4ort.xyz/entity/t-svdnet-exploring-high-order-prototypical-correlations-for-multi-source-domain-adaptation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation — https://4ort.xyz/entity/t-svdnet-exploring-high-order-prototypical-correlations-for-multi-source-domain-adaptation (retrieved 2026-05-24)

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