Statements (25)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:architecture |
encoder-decoder
|
| gptkbp:citation |
high
|
| gptkbp:decoder |
expanding path
|
| gptkbp:designedFor |
image segmentation
|
| gptkbp:encoder |
contracting path
|
| gptkbp:frameworks |
gptkb:TensorFlow
gptkb:PyTorch |
| https://www.w3.org/2000/01/rdf-schema#label |
UNET
|
| gptkbp:influenced |
gptkb:Attention_U-Net
gptkb:ResUNet gptkb:UNet++ |
| gptkbp:input |
gptkb:illustrator
|
| gptkbp:introduced |
gptkb:Olaf_Ronneberger
|
| gptkbp:introducedIn |
2015
|
| gptkbp:notableFor |
skip connections
U-shaped architecture |
| gptkbp:notablePublication |
gptkb:U-Net:_Convolutional_Networks_for_Biomedical_Image_Segmentation
https://arxiv.org/abs/1505.04597 |
| gptkbp:openSource |
gptkb:GitHub
|
| gptkbp:output |
segmentation mask
|
| gptkbp:publishedIn |
gptkb:MICCAI_2015
|
| gptkbp:usedIn |
biomedical image segmentation
|
| gptkbp:bfsParent |
gptkb:Universidad_Nacional_Experimental_del_Táchira
|
| gptkbp:bfsLayer |
6
|