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Search results for pytorch landmark detection
landmark-detection
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pytorch
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17 search results found
Landmark Detection
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910
Four landmark detection algorithms, implemented in PyTorch.
Mmfashion
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785
Open-source toolbox for visual fashion analysis based on PyTorch
Shapenet
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263
PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS
Deepdrr
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166
Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606
Latent Pose Reenactment
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145
The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.
Deepfluorolabeling Ipcai2020
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39
Code and data for the "annotation" component of the IPCAI 2020 paper: "Automatic Annotation of Hip Anatomy in Fluoroscopy for Robust and Efficient 2D/3D Registration." https://arxiv.org/abs/1911.07042 or https://doi.org/10.1007/s11548-020-02162-7
Clearface
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29
Clear Face is python project with C++ library for tracking faces and multiple models detection from faces
Deep_alignment_network_pytorch
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25
PyTorch Implementation of the Deep Alignment Network
Udacity Computer Vision Nanodegree Program
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24
This repositary contain all my exercises and projects of Udacity Computer Vision Nanodegree Program
Medical Detection3d Toolkit
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24
Landmark and object detection engine for 3D medical images
Vertebra Landmark Detection
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21
[ISBI 2020] Vertebra-Focused Landmark Detection for Scoliosis Assessment
Peppa Facial Landmark Pytorch
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21
Facial Landmark Detection based on PyTorch
Kneel
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19
Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation
Deep Collaboration Network
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13
Deep Collaboration Network in pytorch
Freeenricher
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5
FreeEnricher: Enriching Face Landmarks without Additional Cost [Official, AAAI 2023]
Computer Vision Nd
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5
This repo contains my completed Computer Vision projects & exercises from Udacity Computer Vision Nanodegree
Adnet
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5
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment [Official, ICCV 2021]
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