Spatial Pyramid Pooling
Created: =dateformat(this.file.ctime,"dd MMM yyyy, hh:mm a") | Modified: =dateformat(this.file.mtime,"dd MMM yyyy, hh:mm a")
Tags: knowledge
Spatial Pyramid Pooling (SPP)
- Pooling layer that removes the fixed-size constraint of the network, i.e. a CNN does not require a fixed-size input image.
- Done by adding an SPP layer on top of the last convolutional layer.
- The SPP layer pools the features and generates fixed-length outputs, which are then fed into the fully-connected layers (or other classifiers).
- In other words, we perform some information aggregation at a deeper stage of the network hierarchy (between convolutional layers and fully-connected layers) to avoid the need for cropping or warping at the beginning.