Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval

Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval

25 November 2020

Frederik Warburg

Martin Jørgensen

Papers citing "Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval"

12 / 12 papers shown

Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 110 0 0 04 May 2025
To Match or Not to Match: Revisiting Image Matching for Reliable Visual Place Recognition Davide Sferrazza Gabriele Berton Gabriele Trivigno Carlo Masone 34 0 0 08 Apr 2025
TSCM: A Teacher-Student Model for Vision Place Recognition Using Cross-Metric Knowledge Distillation Yehui Shen Mingmin Liu Huimin Lu Xieyuanli Chen 39 1 0 02 Apr 2024
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization Yiyang Chen Zhedong Zheng Wei Ji Leigang Qu Tat-Seng Chua 29 37 0 14 Nov 2022
Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings Kaiwen Cai Chris Xiaoxuan Lu Xiaowei Huang 3DPC 34 2 0 29 Sep 2022
Oracle Guided Image Synthesis with Relative Queries Alec Helbling Christopher Rozell Matthew R. O’Shaughnessy Kion Fallah 18 0 0 28 Apr 2022
Self-Supervised Domain Calibration and Uncertainty Estimation for Place Recognition Pierre-Yves Lajoie Giovanni Beltrame UQCV 22 9 0 08 Mar 2022
STUN: Self-Teaching Uncertainty Estimation for Place Recognition Kaiwen Cai Chris Xiaoxuan Lu Xiaowei Huang 21 11 0 03 Mar 2022
Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun Seong Joon Oh Rafael Sampaio de Rezende Yannis Kalantidis Diane Larlus UQCV 401 200 0 13 Jan 2021
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 44 163 0 23 Jul 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015