Deep Learning for Computer Vision
GPTKB entity
Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic
|
| gptkbp:appliesMethod |
convolutional neural networks
transformers recurrent neural networks |
| gptkbp:challenge |
data privacy
generalization computational cost data annotation explainability adversarial robustness |
| gptkbp:hasApplication |
agriculture
augmented reality autonomous vehicles entertainment healthcare robotics surveillance industrial inspection retail analytics |
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Learning for Computer Vision
|
| gptkbp:milestone |
gptkb:ResNet
gptkb:VGGNet gptkb:Mask_R-CNN gptkb:AlexNet gptkb:Vision_Transformer gptkb:YOLO |
| gptkbp:platform |
gptkb:TensorFlow
gptkb:Keras gptkb:MXNet gptkb:Caffe gptkb:OpenCV gptkb:PyTorch |
| gptkbp:relatedTo |
computer vision
deep learning |
| gptkbp:trainer |
gptkb:Pascal_VOC
gptkb:COCO gptkb:CIFAR-10 gptkb:Cityscapes gptkb:ImageNet gptkb:MNIST |
| gptkbp:usedFor |
image generation
pose estimation face recognition image classification medical image analysis object detection semantic segmentation video analysis image captioning |
| gptkbp:bfsParent |
gptkb:Jason_Brownlee
|
| gptkbp:bfsLayer |
7
|