S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning

17 September 2020

Papers citing "S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning"

10 / 10 papers shown

Title
Generalizable Embeddings with Cross-batch Metric Learning Y. Z. Gürbüz A. Aydin Alatan FedML 44 2 0 14 Jul 2023
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization Christopher Liao Theodoros Tsiligkaridis Brian Kulis SSL 32 5 0 04 Oct 2022
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can A. Aydin Alatan 27 2 0 19 Sep 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 30 15 0 23 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 24 36 0 16 Mar 2022
Better Supervisory Signals by Observing Learning Paths Yi Ren Shangmin Guo Danica J. Sutherland 33 21 0 04 Mar 2022
Learning with Label Noise for Image Retrieval by Selecting Interactions Sarah Ibrahimi Arnaud Sors Rafael Sampaio de Rezende S. Clinchant NoLa VLM 27 16 0 20 Dec 2021
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications Biagio Brattoli Joseph Tighe Fedor Zhdanov Pietro Perona Krzysztof Chalupka VLM 137 127 0 03 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 186 640 0 19 Sep 2019
Classification is a Strong Baseline for Deep Metric Learning Andrew Zhai Hao Wu VLM 34 25 0 30 Nov 2018