Interactive experiments on pretrained Conv2d layer weights.
Conv2d layers are learnable 2D signal filters, it self is indeed a function-let, so what can it actually do? 🤔
⚪ inspect into featur maps: what does the first conv2d layer do in the well-known classifiers?
⚪ inspect into conv2d kernels: what are the learned geometrical basis?
The first Conv2d layer kernels of a pretrained model:
⚪ grouping kernels: many kernels seems to be similar thus redundant?
The first Conv2d layer kernels of a pretrained model (and centroids):
| kernels | kernel centroids |
|---|---|
 |
 |
⚪ PGD adversarial attack: what if we attack a single conv2d layer?
⚪ mathematical property of the well-known image kernels: what are the fixed points of a 2d kernel?
- The reprocessed ImageNet-1k dataset can be downloaded here: https://pan.quark.cn/s/373b488d101e
- NOTE: It is a subset of 1k images from validation split of original intact ImageNet dataset
- Tiny-ImageNet can be found here: tiny-imagenet-200
by Armit 2022/10/28