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gptkbp:instanceOf
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deep neural network architecture
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gptkbp:affiliation
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gptkb:Microsoft_Research_Asia
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gptkbp:architecture
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gptkb:convolutional_neural_network
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gptkbp:author
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gptkb:Hongsheng_Li
gptkb:Jingdong_Wang
gptkb:Tianheng_Cheng
gptkb:Xiao_Tong
Bin Xiao
Boris Knyazev
Ke Sun
Shuai Shao
Wenyu Liu
Xiao Liu
Yadong Mu
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gptkbp:citation
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over 5000 (as of 2024)
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gptkbp:designedFor
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computer vision
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gptkbp:features
|
maintains high-resolution representations throughout the network
parallel multi-resolution subnetworks
repeated information exchange across resolutions
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gptkbp:fullName
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High-Resolution Network
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|
https://www.w3.org/2000/01/rdf-schema#label
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HRNet
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gptkbp:improves
|
gptkb:ResNet
Hourglass Network
SimpleBaseline
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gptkbp:introduced
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gptkb:Jingdong_Wang
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gptkbp:introducedIn
|
2019
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gptkbp:notableFor
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autonomous driving
face recognition
medical image analysis
video understanding
crowd counting
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gptkbp:notablePublication
|
gptkb:Deep_High-Resolution_Representation_Learning_for_Visual_Recognition
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gptkbp:openSource
|
gptkb:GitHub
|
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gptkbp:publishedIn
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gptkb:CVPR_2019
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gptkbp:relatedTo
|
HRFormer
HRNet-W32
HRNet-W48
HRNetV2
HRNetV2p
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gptkbp:trainer
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gptkb:COCO
gptkb:Cityscapes
gptkb:PASCAL_VOC
MPII
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gptkbp:usedFor
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object detection
semantic segmentation
human pose estimation
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gptkbp:bfsParent
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gptkb:PaddleDetection
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gptkbp:bfsLayer
|
6
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