RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning-Reference-Cited by-同舟云学术

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RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Liao Kang¹,Nie Lang¹,Lin Chunyu¹,Zheng Zishuo¹,Zhao Yao¹

Affiliation:

1. Institute of Information Science, Beijing Jiaotong University

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377387.pdf?arnumber=10377387

Reference48 articles.

1. Mind the pad–cnns can develop blind spots;Alsallakh

2. Geometric properties of central catadioptric line images and their application in calibration

3. Curriculum learning

4. DeepCalib

5. Principal warps: thin-plate splines and the decomposition of deformations

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1. RecStitchNet: Learning to stitch images with rectangular boundaries;Computational Visual Media;2024-08-06

2. Image rectangling network based on reparameterized transformer and assisted learning;Scientific Reports;2024-03-24

3. AbHE: All Attention-Based Homography Estimation;IEEE Transactions on Instrumentation and Measurement;2024

4. Remote Sensing Image Rectangling With Iterative Warping Kernel Self-Correction Transformer;IEEE Transactions on Geoscience and Remote Sensing;2024

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