Fully Convolutional Network (FCN)
GPTKB entity
Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:architecture |
gptkb:convolutional_neural_network
|
| gptkbp:citation |
over 10,000
|
| gptkbp:component |
skip connections
upsampling layers |
| gptkbp:enables |
end-to-end pixelwise prediction
|
| gptkbp:influenced |
gptkb:U-Net
gptkb:SegNet |
| gptkbp:input |
gptkb:illustrator
|
| gptkbp:introduced |
gptkb:Trevor_Darrell
gptkb:Jonathan_Long gptkb:Evan_Shelhamer |
| gptkbp:introducedIn |
2015
|
| gptkbp:openSource |
gptkb:TensorFlow
gptkb:Caffe gptkb:PyTorch |
| gptkbp:output |
segmentation map
|
| gptkbp:publishedIn |
gptkb:CVPR_2015
|
| gptkbp:relatedTo |
computer vision
deep learning |
| gptkbp:replacedBy |
fully connected layers with convolutional layers
|
| gptkbp:trainer |
gptkb:PASCAL_VOC
gptkb:NYUDv2 SIFT Flow |
| gptkbp:usedFor |
semantic segmentation
|
| gptkbp:bfsParent |
gptkb:Fully_Convolutional_Networks_for_Semantic_Segmentation
|
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
Fully Convolutional Network (FCN)
|