Applying convolutional neural networks to extremely sparse image datasets using an image subdivision approach.
Johan P. BoetkerPublished in: CoRR (2020)
Keyphrases
- image data
- multiscale
- convolutional neural networks
- single image
- input image
- image classification
- image features
- image analysis
- edge detection
- image representation
- template matching
- image content
- image retrieval
- low level
- image segmentation
- feature points
- image pixels
- keypoints
- test images
- high resolution
- image collections
- image regions
- hough transform
- image matching
- multiresolution
- region of interest
- image set
- segmentation algorithm
- computer vision