Hierarchical Scene Labeling (Stanford Background)
New York University (NYU)Semantic segmentation
Hierarchical Scene Labeling (Stanford Background) is semantic segmentation model published by New York University (NYU) in 2013 featuring 51609600.0 parameters.
About Hierarchical Scene Labeling (Stanford Background)
Scene labeling consists of labeling each pixel in an image with the category of the object it belongs to. We propose a method that uses a multiscale convolutional network trained from raw pixels to extract dense feature vectors that encode regions of
Details
- Provider
- New York University (NYU)
- Task
- Semantic segmentation
- Parameters
- 51609600.0
- Released
- 2013-08-01
- Open weights
- No