Browse State-of-the-Art › Landmark Tracking
Landmark Tracking
5 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Most implemented papers archive 2025-07-28
5 shown of 5 papers with code (24 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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8 Mar 2024 1 repository listedFinding point-level correspondences is a fundamental problem in ultrasound (US), since it can enable US landmark tracking for intraoperative image guidance in different surgeries, including head and neck.
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22 Nov 2022 1 repository listedIn this work, we introduce WarpPINN, a physics-informed neural network to perform image registration to obtain local metrics of the heart deformation.
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19 Dec 2021 1 repository listedMoreover, the SRN augments the training data by synthesizing occluded faces.
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Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning12 May 2021 1 repository listedPrevious cycle-consistency correspondence learning methods usually leverage image patches for training.
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4 Mar 2021 1 repository listedCardiac tagging magnetic resonance imaging (t-MRI) is the gold standard for regional myocardium deformation and cardiac strain estimation.
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