Robuta

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