Methods › Computer Vision › Convolutions › CoordConv
CoordConv
Introduced by Rosanne Liu et al. in An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A CoordConv layer is a simple extension to the standard convolutional layer. It has the same functional signature as a convolutional layer, but accomplishes the mapping by first concatenating extra channels to the incoming representation. These channels contain hard-coded coordinates, the most basic version of which is one channel for the i coordinate and one for the j coordinate.
The CoordConv layer keeps the properties of few parameters and efficient computation from convolutions, but allows the network to learn to keep or to discard translation invariance as is needed for the task being learned. This is useful for coordinate transform based tasks where regular convolutions can fail.
Papers archive 2025-07-28
16 shown of 16, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Mammographic Breast Positioning Assessment via Deep Learning 15 Jul 2024 · 1 repository · arXiv:2407.10796
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Semi-Supervised Domain Adaptation for Wildfire Detection 2 Apr 2024 · 1 repository · arXiv:2404.01842
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YOLOrtho -- A Unified Framework for Teeth Enumeration and Dental Disease Detection 11 Aug 2023 · 0 repositories · arXiv:2308.05967
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PP-YOLOE: An evolved version of YOLO 30 Mar 2022 · 8 repositories · arXiv:2203.16250Syntology ran 5 of 27 samples · 22 unverified
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In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos 27 Jan 2022 · 0 repositories · arXiv:2201.11450
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Depth-aware Object Segmentation and Grasp Detection for Robotic Picking Tasks 22 Nov 2021 · 1 repository · arXiv:2111.11114
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Segmentation of Drilled Holes in Texture Wooden Furniture Panels Using Deep Neural Network 23 May 2021 · 1 repository
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PP-YOLOv2: A Practical Object Detector 21 Apr 2021 · 1 repository · arXiv:2104.10419
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An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking 13 Mar 2021 · 0 repositories · arXiv:2103.07615
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PP-YOLO: An Effective and Efficient Implementation of Object Detector 23 Jul 2020 · 5 repositories · arXiv:2007.12099
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PropagationNet: Propagate Points to Curve to Learn Structure Information 25 Jun 2020 · 0 repositories · arXiv:2006.14308
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Deep feature fusion for self-supervised monocular depth prediction 16 May 2020 · 0 repositories · arXiv:2005.07922
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Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation 27 Feb 2020 · 0 repositories · arXiv:2002.11918
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Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression 16 Apr 2019 · 7 repositories · arXiv:1904.07399Syntology ran 7 of 27 samples · 20 unverified · 1 pointer-only (licence)
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Automatic salt deposits segmentation: A deep learning approach 21 Nov 2018 · 2 repositories · arXiv:1812.01429
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An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution 9 Jul 2018 · 24 repositories · arXiv:1807.03247Syntology ran 4 of 5 samples · 1 unverified
Tasks archive 2025-07-28
20 shown of 36 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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