Is Mask-RCNN a fully convolutional architecture?

Is Mask-RCNN a fully convolutional architecture (from what I see yes, because there are no dense layers but just wanted to make sure)? Thus can I feed differently sized images for inference without resizing? Also while training could I feed the original sized images without resizing?

Topic convolutional-neural-network deep-learning

Category Data Science

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