https://openreview.net/forum?id=uyqjpycMbU
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation | OpenReview
Deep learning has seen remarkable advancements in machine learning, yet it often demands extensive annotated data. Tasks like 3D semantic segmentation impose a...
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https://arxiv.org/abs/2003.02546
[2003.02546] Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning
Abstract page for arXiv paper 2003.02546: Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning
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https://openreview.net/forum?id=GQJx8U3O8c
A Pipeline for Interpretable Clinical Subtyping with Deep Metric Learning | OpenReview
Clinical subtyping, a critical component of personalized medicine, classifies patients with a particular disease into distinct subgroups based on their unique...
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https://wandb.ai/confusezius/RevisitDML/reports/Understanding-what-works-and-why-in-Deep-Metric-Learning--VmlldzozNDYyNzU
Understanding what works (and why) in Deep Metric Learning
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https://arxiv.org/abs/2003.02546v3
[2003.02546v3] Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning
Abstract page for arXiv paper 2003.02546v3: Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning
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https://openreview.net/forum?id=S6j6VQFmpw&referrer=%5Bthe%20profile%20of%20Pingchuan%20Ma%5D(%2Fprofile%3Fid%3D~Pingchuan_Ma2)
Attend to Context for Refining Embeddings in Deep Metric Learning | OpenReview
The primary objective of deep metric learning (DML) is to find an effective embedding function that can map an image to a vector in the latent space. The...
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https://slides.com/asanakoy/metric-learning-kaggle-whales
Identification of Humpback Whales using Deep Metric Learning
Talk at Heidelberg SIAM chapter (09.07.2019). I will discuss existing approaches to learn the embedding space using Deep Metric Learning (DML) as long as our...
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https://openreview.net/forum?id=JJQbk2hIQ5
[Re] Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning | OpenReview
Reproducibility report for paper "Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning"
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https://www.amazon.science/blog/more-reliable-nearest-neighbor-search-with-deep-metric-learning/
More reliable nearest-neighbor search with deep metric learning - Amazon Science
May 31, 2024 - Novel loss term that can be added to any loss function regularizes interclass and intraclass distances.
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https://openreview.net/forum?id=rJoZ1i3_l
Semi-supervised deep learning by metric embedding | OpenReview
Deep networks are successfully used as classification models yielding state-of-the-art results when trained on a large number of labeled samples. These models,...
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Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric...
Deep Metric Learning (DML) has long attracted the attention of the machine learning community as a key objective. Existing solutions concentrate on fine-tuning...
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