Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning

4 April 2019

Papers citing "Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning"

10 / 10 papers shown

Title
Potential Field Based Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 51 1 0 28 May 2024
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning Zheren Fu Zhendong Mao Bo Hu An-an Liu Yongdong Zhang 23 5 0 29 Nov 2022
Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning Chenkang Zhang Lei Luo Bin Gu 30 4 0 19 Nov 2022
Attributable Visual Similarity Learning Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 22 17 0 28 Mar 2022
Construct Informative Triplet with Two-stage Hard-sample Generation Chuang Zhu Zheng Hu Huihui Dong Gang He Zekuan Yu Shangshang Zhang 33 3 0 04 Dec 2021
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References Pranay Manocha Buye Xu Anurag Kumar 32 44 0 16 Sep 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 25 39 0 29 Mar 2021
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval Frederik Warburg Martin Jørgensen Javier Civera Søren Hauberg UQCV 27 36 0 25 Nov 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 41 475 0 18 Mar 2020
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval Binghui Chen Weihong Deng VLM FedML 24 55 0 27 Jul 2019