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A weakly supervised adaptive triplet loss for deep metric learning
We address the problem of distance metric learning in visual similarity search, defined as learning an image embedding model which projects images into Euclidean space where semantically and visually similar images are closer and dissimilar images are further from one another.
UPI-Net: Semantic Contour Detection in Placental Ultrasound
In this paper, we investigate utero-placental interface (UPI) detection in 2D placental ultrasound images by formulating it as a semantic contour detection problem.
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