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Found 5 papers, 1 papers with code
Multimorbidity Content-Based Medical Image Retrieval Using Proxies
Medical imaging data, such as radiology images, are often multimorbidity; a single sample may have more than one pathology present.
OpenGAN: Open Set Generative Adversarial Networks
Using a state-of-the-art metric learning model that encodes both class-level and fine-grained semantic information, we are able to generate samples that are semantically similar to a given source image.
The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning
Robotic problems are dynamic and open world; a robot will likely observe objects that are from outside of the training set distribution.
Nearest Neighbour Radial Basis Function Solvers for Deep Neural Networks
The same loss function is used for both the metric learning and classification problems.
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels
We present a Gaussian kernel loss function and training algorithm for convolutional neural networks that can be directly applied to both distance metric learning and image classification problems.
