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20192021
most citedRelational Knowledge Distillation

48 citations · 65 across the 6 of their papers we have counts for

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cs.CV2021

Multi-level Distance Regularization for Deep Metric Learning

Yonghyun Kim, Wonpyo Park

We propose a novel distance-based regularization method for deep metric learning called Multi-level Distance Regularization (MDR). MDR explicitly disturbs a learning procedure by r…

cs.CV2020

Diversified Mutual Learning for Deep Metric Learning

Wonpyo Park, Wonjae Kim, Kihyun You +1

Mutual learning is an ensemble training strategy to improve generalization by transferring individual knowledge to each other while simultaneously training multiple models. In this…

cs.CV20207 cited

BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition

Yonghyun Kim, Wonpyo Park, Jongju Shin

The datasets of face recognition contain an enormous number of identities and instances. However, conventional methods have difficulty in reflecting the entire distribution of the…

cs.CV202010 cited

GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition

Yonghyun Kim, Wonpyo Park, Myung-Cheol Roh +1

In the field of face recognition, a model learns to distinguish millions of face images with fewer dimensional embedding features, and such vast information may not be properly enc…

cs.CV201948 cited

Relational Knowledge Distillation

Wonpyo Park, Dongju Kim, Yan Lu +1

Knowledge distillation aims at transferring knowledge acquired in one model (a teacher) to another model (a student) that is typically smaller. Previous approaches can be expressed…