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Yes, you are correct. In the InterFormer architecture, each image undergoes 'Feature Encoding' just once. This encoded feature is repeatedly used for multiple interactions to segment any object within the image. Consequently, the reuse rate of the image features is high, particularly when annotating multiple objects in a single image, leading to significantly enhanced processing efficiency.
Thank you for your interest in our work.
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