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MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation

Research article (2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024) · cited 19× · AI/ML
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MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation

Summary

MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation is a scholarly article[1].

Key Facts

  • MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation's instance of is recorded as scholarly article[2].

References

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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). MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/mcnet-rethinking-the-core-ingredients-for-accurate-and-efficient-homography-estimation
MLA “MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mcnet-rethinking-the-core-ingredients-for-accurate-and-efficient-homography-estimation.
BibTeX @misc{4ortxyz_mcnet-rethinking-the-core-ingredients-for-accurate-and-efficient-homography-estimation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation}}, year = {2026}, url = {https://4ort.xyz/entity/mcnet-rethinking-the-core-ingredients-for-accurate-and-efficient-homography-estimation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation — https://4ort.xyz/entity/mcnet-rethinking-the-core-ingredients-for-accurate-and-efficient-homography-estimation (retrieved 2026-05-24)

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