ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis

2 April 2020

Papers citing "ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis"

29 / 29 papers shown

Title
Multi-modal Reference Learning for Fine-grained Text-to-Image Retrieval Zehong Ma Hao Chen Wei Zeng Limin Su Shiliang Zhang AI4TS 35 0 0 10 Apr 2025
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection Zhipeng Yu Qianqian Xu Yangbangyan Jiang Yingfei Sun Qingming Huang NoLa 74 0 0 19 Jan 2025
Potential Field Based Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 53 1 0 28 May 2024
DVF: Advancing Robust and Accurate Fine-Grained Image Retrieval with Retrieval Guidelines Xin Jiang Hao Tang Rui Yan Jinhui Tang Zechao Li 47 4 0 24 Apr 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 37 1 0 23 Apr 2024
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain Adaptation Li Ren Chen Chen Liqiang Wang Kien Hua 49 7 0 01 Jan 2024
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging Zitong S. Chen Chau Pham Siqi Wang Michael Doron Nikita Moshkov Bryan A. Plummer Juan C. Caicedo 30 11 0 30 Oct 2023
Generalizable Embeddings with Cross-batch Metric Learning Y. Z. Gürbüz A. Aydin Alatan FedML 46 2 0 14 Jul 2023
Mean Field Theory in Deep Metric Learning Takuya Furusawa 33 2 0 27 Jun 2023
ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak Kuniaki Saito Theodoros Tsiligkaridis Kate Saenko Bryan A. Plummer OOD 44 9 0 04 Apr 2023
Multimorbidity Content-Based Medical Image Retrieval Using Proxies Yu Xing Benjamin J. Meyer Mehrtash Harandi Tom Drummond Z. Ge 27 0 0 22 Nov 2022
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance Jihwan Bae Junwon Seo Taekyung Kim Hae-Gon Jeon K. Kwak Inwook Shim 26 8 0 21 Nov 2022
Coded Residual Transform for Generalizable Deep Metric Learning Shichao Kan Yixiong Liang Min Li Yigang Cen Jianxin Wang Z. He 36 3 0 09 Oct 2022
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators Abhra Chaudhuri Massimiliano Mancini Zeynep Akata Anjan Dutta 28 4 0 05 Oct 2022
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization Christopher Liao Theodoros Tsiligkaridis Brian Kulis SSL 37 5 0 04 Oct 2022
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can A. Aydin Alatan 29 2 0 19 Sep 2022
Hierarchical Average Precision Training for Pertinent Image Retrieval Elias Ramzi Nicolas Audebert Nicolas Thome Clément Rambour Xavier Bitot 23 6 0 05 Jul 2022
Evaluating Generalizability of Fine-Tuned Models for Fake News Detection Abhijit Suprem C. Pu 34 4 0 15 May 2022
The Group Loss++: A deeper look into group loss for deep metric learning Ismail Elezi Jenny Seidenschwarz Laurin Wagner Sebastiano Vascon Alessandro Torcinovich Marcello Pelillo Laura Leal-Taixe 32 12 0 04 Apr 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning Aleksandr Ermolov L. Mirvakhabova Valentin Khrulkov N. Sebe Ivan Oseledets 36 100 0 21 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 29 36 0 16 Mar 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Yifei Ming Yiyou Sun Ousmane Amadou Dia Yixuan Li OODD 26 96 0 08 Mar 2022
Multi-Head Deep Metric Learning Using Global and Local Representations M. K. Ebrahimpour Gang Qian Allison Beach 27 8 0 28 Dec 2021
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings Siqi Wang Manyuan Lu Nikita Moshkov Juan C. Caicedo Bryan A. Plummer 26 4 0 06 Dec 2021
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding Jasmine Collins Shubham Goel Kenan Deng Achleshwar Luthra Leon L. Xu ... T. F. Y. Vicente T. Dideriksen H. Arora M. Guillaumin Jitendra Malik 156 218 0 12 Oct 2021
Recall@k Surrogate Loss with Large Batches and Similarity Mixup Yash J. Patel Giorgos Tolias Jirí Matas VLM 44 54 0 25 Aug 2021
It Takes Two to Tango: Mixup for Deep Metric Learning Shashanka Venkataramanan Bill Psomas Ewa Kijak Laurent Amsaleg Konstantinos Karantzalos Yannis Avrithis 28 25 0 09 Jun 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 29 39 0 29 Mar 2021
Grafit: Learning fine-grained image representations with coarse labels Hugo Touvron Alexandre Sablayrolles Matthijs Douze Matthieu Cord Hervé Jégou SSL 34 68 0 25 Nov 2020