Deep Relational Metric Learning

08/23/2021
by   Wenzhao Zheng, et al.
24

This paper presents a deep relational metric learning (DRML) framework for image clustering and retrieval. Most existing deep metric learning methods learn an embedding space with a general objective of increasing interclass distances and decreasing intraclass distances. However, the conventional losses of metric learning usually suppress intraclass variations which might be helpful to identify samples of unseen classes. To address this problem, we propose to adaptively learn an ensemble of features that characterizes an image from different aspects to model both interclass and intraclass distributions. We further employ a relational module to capture the correlations among each feature in the ensemble and construct a graph to represent an image. We then perform relational inference on the graph to integrate the ensemble and obtain a relation-aware embedding to measure the similarities. Extensive experiments on the widely-used CUB-200-2011, Cars196, and Stanford Online Products datasets demonstrate that our framework improves existing deep metric learning methods and achieves very competitive results.

READ FULL TEXT

page 1

page 3

page 4

page 11

research
03/13/2019

Hardness-Aware Deep Metric Learning

This paper presents a hardness-aware deep metric learning (HDML) framewo...
research
05/09/2022

Introspective Deep Metric Learning

This paper proposes an introspective deep metric learning (IDML) framewo...
research
07/02/2018

Relational Constraints for Metric Learning on Relational Data

Most of metric learning approaches are dedicated to be applied on data d...
research
09/09/2020

Diversified Mutual Learning for Deep Metric Learning

Mutual learning is an ensemble training strategy to improve generalizati...
research
09/20/2019

Deep Metric Learning using Similarities from Nonlinear Rank Approximations

In recent years, deep metric learning has achieved promising results in ...
research
07/27/2020

Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification

In this paper, we present a novel deep metric learning method to tackle ...
research
07/11/2020

ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification

Face verification can be regarded as a 2-class fine-grained visual recog...

Please sign up or login with your details

Forgot password? Click here to reset