In Computer Vision, feature encoding methods are used on pre-trained DCNN to increase the feature robustness to certain conditions such as viewpoint/appearance variations ref.

I was just wondering if there are already available well established methods among AI community with probably python implementations.

I found the following ones in literature but without any tutorial or code example:

  1. Multi-layer pooling ref
  2. Cross convolutional layer Pooling ref
  3. Holistic Pooling ref

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