SVM-CNN
New York University (NYU)Image classification
SVM-CNN is a image classification model from New York University (NYU) released in 2006 with 90857.0 parameters.
About SVM-CNN
The detection and recognition of generic object categories with invariance to viewpoint, illumination, and clutter requires the combination of a feature extractor and a classifier. We show that architectures such as convolutional networks are good at
Details
- Provider
- New York University (NYU)
- Task
- Image classification
- Parameters
- 90857.0
- Released
- 2006-06-17
- Open weights
- No