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MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 73× · AI/ML
academia openalex:W4312322996
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MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph

Summary

MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph is a scholarly article[1].

Key Facts

  • MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph. Retrieved May 24, 2026, from https://4ort.xyz/entity/ms2dg-net-progressive-correspondence-learning-via-multiple-sparse-semantics-dynamic-graph
MLA “MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ms2dg-net-progressive-correspondence-learning-via-multiple-sparse-semantics-dynamic-graph.
BibTeX @misc{4ortxyz_ms2dg-net-progressive-correspondence-learning-via-multiple-sparse-semantics-dynamic-graph_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph}}, year = {2026}, url = {https://4ort.xyz/entity/ms2dg-net-progressive-correspondence-learning-via-multiple-sparse-semantics-dynamic-graph}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph — https://4ort.xyz/entity/ms2dg-net-progressive-correspondence-learning-via-multiple-sparse-semantics-dynamic-graph (retrieved 2026-05-24)

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