Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences-Reference-Cited by-同舟云学术

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Truong Prune¹,Danelljan Martin¹,Yu Fisher¹,Van Gool Luc¹

Affiliation:

1. Computer Vision Lab,ETH Zurich,Switzerland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880178.pdf?arnumber=9880178

Reference46 articles.

1. GOCor: Bringing globally optimized correspon-dence volumes into your neural network;truong;Conference on Neural Information Processing Systems NeurIPS,2020

2. Joint re-covery of dense correspondence and co segmentation in two images;taniai;2016 IEEE Conference on Computer Vision and Pattern Recognition CVPR 2016,2016

3. End-to-End Weakly-Supervised Semantic Alignment

4. Convolutional Neural Network Architecture for Geometric Matching

5. Learning to compose hypercolumns for visual correspon-dence;min;Computer Vision-ECCV 2020 – 16th European Conference,2020

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