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Transformer Networks for Matting
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In the context of transformer networks for matting, what is the primary role of the encoder?
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A
Extracting global features from the input image.
💡 Explanation:
The encoder in transformer networks for matting is responsible for extracting global features from the input image. These features capture the overall context and structure of the image, which are crucial for generating an accurate alpha matte.