Is ROI pooling (e.g. in Pytorch) suitable for any tasks instead of object detection? For example, a pre-trained VGG16 on ImageNet. I use this image example as the input with the size of 640*640, and I will get a feature map with a size of 40*40 after the last convolutional layer. Assume that I already have the bounding box of the cat, shown in the red rectangle. Can I use the known bounding box to extract the features of the cat with ROI Pooling directly?
Can I use ROI Pooling to extract region features from a feature map of the entire image in any task?
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