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09/06/2023
Knowledge Distillation Layer that Lets the Student Decide
Typical technique in knowledge distillation (KD) is regularizing the lea...
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08/18/2023
Generalized Sum Pooling for Metric Learning
A common architectural choice for deep metric learning is a convolutiona...
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07/14/2023
Generalizable Embeddings with Cross-batch Metric Learning
Global average pooling (GAP) is a popular component in deep metric learn...
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10/03/2022
Feature Embedding by Template Matching as a ResNet Block
Convolution blocks serve as local feature extractors and are the key to ...
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09/19/2022
Deep Metric Learning with Chance Constraints
Deep metric learning (DML) aims to minimize empirical expected loss of t...
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10/24/2020