U NetU-Net: Convolutional Networks for Biomedical Image Segmentation
Stars: ✭ 374 (+1600%)
Mutual labels: convolutional-networks, image-segmentation
Surface Defect Detection🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research which are very important. 🐋
Stars: ✭ 287 (+1204.55%)
Mutual labels: paper, image-segmentation
LivianetThis repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
Stars: ✭ 143 (+550%)
Mutual labels: convolutional-networks, image-segmentation
DeblurganImage Deblurring using Generative Adversarial Networks
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Mutual labels: paper, convolutional-networks
InstantDLInstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
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Mutual labels: image-segmentation
FCN-Segmentation-TensorFlowFCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC
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Mutual labels: image-segmentation
msla2014wherein I implement several substructural logics in Agda
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Mutual labels: paper
mliisCode for meta-learning initializations for image segmentation
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Mutual labels: image-segmentation
kimimaroSkeletonize densely labeled 3D image segmentations with TEASAR.
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Mutual labels: image-segmentation
Image ProcessingImage Processing techniques using OpenCV and Python.
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Mutual labels: image-segmentation
influence boostingSupporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
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Mutual labels: paper
midi degradation toolkitA toolkit for generating datasets of midi files which have been degraded to be 'un-musical'.
Stars: ✭ 29 (+31.82%)
Mutual labels: paper
AdversarialAudioSeparationCode accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"
Stars: ✭ 70 (+218.18%)
Mutual labels: paper
groove2grooveCode for "Groove2Groove: One-Shot Music Style Transfer with Supervision from Synthetic Data"
Stars: ✭ 88 (+300%)
Mutual labels: paper
Tensorflow-For-BeginnersIntroduction to deep learning with Tensorflow.
Stars: ✭ 55 (+150%)
Mutual labels: convolutional-networks