Learning to Compose Hypercolumns for Visual Correspondence

european conference on computer vision, pp. 346-363, 2020.

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Abstract:

Feature representation plays a crucial role in visual correspondence, and recent methods for image matching resort to deeply stacked convolutional layers. These models, however, are both monolithic and static in the sense that they typically use a specific level of features, e.g., the output of the last layer, and adhere to it regardles...More

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