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...
deep metric learning
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...
deep metric learningpipelineclinical
https://deepai.org/publication/visual-identification-of-individual-holstein-friesian-cattle-via-deep-metric-learning
Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning | DeepAI
Jun 16, 2020 - 06/16/20 - Holstein Friesian cattle exhibit individually-characteristic black and white coat patterns visually akin to those arising from Tur...
holstein friesian cattledeep metric learningvisual identification
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...
deep metric learningattend tocontextrefining
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"
deep metric learninghypergraphinducedsemantictuplet
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.
nearest neighbor searchdeep metric learningreliable
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
in spacedeep metric2003embeddingexpansion
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,...
deep learningmetric embeddingsemisupervisedopenreview