A Metric Learning Reality Check

18 March 2020

Ser-Nam Lim

Papers citing "A Metric Learning Reality Check"

50 / 294 papers shown

Title
Generalized Sum Pooling for Metric Learning †. YetiZ.Gürbüz Ozan Sener Alatan RSiM FedML 38 6 0 18 Aug 2023
Identity-Aware Semi-Supervised Learning for Comic Character Re-Identification Gurkan Soykan Deniz Yuret T. M. Sezgin SSL 12 5 0 17 Aug 2023
REFORMS: Reporting Standards for Machine Learning Based Science Sayash Kapoor Emily F. Cantrell Kenny Peng Thanh Hien Pham C. Bail ... Matthew J. Salganik Marta Serra-Garcia Brandon M Stewart Gilles Vandewiele Arvind Narayanan 10 19 0 15 Aug 2023
Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image Retrieval Yunquan Zhu Xinkai Gao Bo Ke Ruizhi Qiao Xing Sun 21 4 0 08 Aug 2023
Center Contrastive Loss for Metric Learning Bolun Cai Pengfei Xiong Shangxuan Tian SSL 15 7 0 01 Aug 2023
Generalizable Embeddings with Cross-batch Metric Learning Y. Z. Gürbüz Aydin Alatan FedML 44 2 0 14 Jul 2023
Risk Controlled Image Retrieval Kaiwen Cai Chris Xiaoxuan Lu Xingyu Zhao Xiaowei Huang 9 0 0 14 Jul 2023
A metric learning approach for endoscopic kidney stone identification Jorge Gonzalez-Zapata F. Lopez-Tiro Elias Villalvazo-Avila Daniel Flores-Araiza Jacques Hubert Andres Mendez-Vazquez G. Ochoa-Ruiz C. Daul 36 4 0 13 Jul 2023
Towards Ordinal Data Science Gerd Stumme Dominik Dürrschnabel Tom Hanika 14 2 0 13 Jul 2023
Mean Field Theory in Deep Metric Learning Takuya Furusawa 25 2 0 27 Jun 2023
Beyond AUROC & co. for evaluating out-of-distribution detection performance Galadrielle Humblot-Renaux Sergio Escalera T. Moeslund OODD 22 4 0 26 Jun 2023
Catching Image Retrieval Generalization Maksim Zhdanov I. Karpukhin VLM 19 0 0 23 Jun 2023
Deep Metric Learning with Soft Orthogonal Proxies F. Saberi-Movahed M. K. Ebrahimpour Farid Saberi-Movahed Monireh Moshavash Dorsa Rahmatian Mahvash Mohazzebi Mahdi Shariatzadeh M. Eftekhari 19 3 0 22 Jun 2023
MOFI: Learning Image Representations from Noisy Entity Annotated Images Wentao Wu Aleksei Timofeev Chen Chen Bowen Zhang Kun Duan ... Yantao Zheng Jonathon Shlens Xianzhi Du Zhe Gan Yinfei Yang VLM 23 7 0 13 Jun 2023
Contrastive Attention Networks for Attribution of Early Modern Print Nikolai Vogler Kartik Goyal Kishore PV Reddy Elizaveta Pertseva Sam Lemley Christopher N. Warren M. G'Sell Taylor Berg-Kirkpatrick 25 1 0 12 Jun 2023
Unprocessing Seven Years of Algorithmic Fairness André F. Cruz Moritz Hardt 29 10 0 12 Jun 2023
Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization J. Haas William Yolland B. Rabus OODD 19 0 0 07 Jun 2023
Cross Modal Data Discovery over Structured and Unstructured Data Lakes M. Eltabakh Mayuresh Kunjir A. Elmagarmid M. Ahmad 21 9 0 01 Jun 2023
Improved Probabilistic Image-Text Representations Sanghyuk Chun VLM 33 26 0 29 May 2023
Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction Kosuke Yamada Ryohei Sasano Koichi Takeda FedML 23 1 0 23 May 2023
Understanding Programs by Exploiting (Fuzzing) Test Cases Jianyu Zhao Yuyang Rong Yiwen Guo Yifeng He Hao Chen 33 16 0 23 May 2023
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters Isaac Corley Caleb Robinson Rahul Dodhia J. L. Ferres Peyman Najafirad 46 14 0 22 May 2023
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy Stanislav Dereka I. Karpukhin Maksim Zhdanov Sergey Kolesnikov 36 0 0 19 May 2023
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics Yivan Zhang Masashi Sugiyama 22 1 0 19 May 2023
Semantic Frame Induction with Deep Metric Learning Kosuke Yamada Ryohei Sasano Koichi Takeda 28 1 0 27 Apr 2023
STIR: Siamese Transformer for Image Retrieval Postprocessing Aleksei Shabanov Aleksei Tarasov Sergey I. Nikolenko 25 4 0 26 Apr 2023
A Study on Reproducibility and Replicability of Table Structure Recognition Methods Kehinde E. Ajayi Muntabhir Hasan Choudhury Sarah Rajtmajer Jian Wu LMTD 14 3 0 20 Apr 2023
Unicom: Universal and Compact Representation Learning for Image Retrieval Xiang An Jiankang Deng Kaicheng Yang Jaiwei Li Ziyong Feng Jia Guo Jing Yang Tongliang Liu VLM SSL 37 26 0 12 Apr 2023
Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval Jae Myung Kim A. Sophia Koepke Cordelia Schmid Zeynep Akata 78 25 0 06 Apr 2023
Robust Calibrate Proxy Loss for Deep Metric Learning Xinyue Li Jian Wang Wei Song Yanling Du Zhixiang Liu 22 1 0 06 Apr 2023
Designing and Evaluating Speech Emotion Recognition Systems: A reality check case study with IEMOCAP Nikolaos Antoniou Athanasios Katsamanis Theodoros Giannakopoulos Shrikanth Narayanan 26 17 0 03 Apr 2023
Adaptive Cross Batch Normalization for Metric Learning Thalaiyasingam Ajanthan Matt Ma Anton Van Den Hengel Stephen Gould 30 0 0 30 Mar 2023
An embedding for EEG signals learned using a triplet loss Pierre Guetschel Théodore Papadopoulo Michael Tangermann 11 1 0 23 Mar 2023
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion Geonmo Gu Sanghyuk Chun Wonjae Kim HeeJae Jun Yoohoon Kang Sangdoo Yun DiffM 36 50 0 21 Mar 2023
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models Kechi Zhang Zhuo Li Zhi Jin Ge Li 29 7 0 14 Mar 2023
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error Tyler Cody Laura J. Freeman OODD 11 2 0 28 Feb 2023
Global Proxy-based Hard Mining for Visual Place Recognition A. Ali-bey B. Chaib-draa Philippe Giguère 16 6 0 28 Feb 2023
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification Lemuel Puglisi F. Barkhof Daniel C. Alexander Geoffrey J. M. Parker Arman Eshaghi D. Ravì 18 1 0 25 Feb 2023
A Large Scale Homography Benchmark Dániel Baráth Dmytro Mishkin Michal Polic W. Förstner Juan E. Sala Matas 29 9 0 20 Feb 2023
Versatile User Identification in Extended Reality using Pretrained Similarity-Learning Christian Rack Konstantin Kobs Tamara Fernando Andreas Hotho Marc Latoschik 20 5 0 15 Feb 2023
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation Yash J. Patel Yusheng Xie Yi Zhu Srikar Appalaraju R. Manmatha 35 4 0 07 Feb 2023
Hyperbolic Contrastive Learning Yun Yue Fangzhou Lin Kazunori D Yamada Ziming Zhang SSL 33 18 0 02 Feb 2023
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval Frederik Warburg M. Miani Silas Brack Søren Hauberg UQCV BDL 16 7 0 02 Feb 2023
Inspecting class hierarchies in classification-based metric learning models Hyeongji Kim P. Parviainen Terje Berge K. Malde 19 0 0 26 Jan 2023
A Coreset Learning Reality Check Fred Lu Edward Raff James Holt 24 5 0 15 Jan 2023
Group Generalized Mean Pooling for Vision Transformer ByungSoo Ko Han-Gyu Kim Byeongho Heo Sangdoo Yun Sanghyuk Chun Geonmo Gu Wonjae Kim ViT 27 1 0 08 Dec 2022
Efficient Malware Analysis Using Metric Embeddings Ethan M. Rudd David B. Krisiloff Scott E. Coull Daniel Olszewski Edward Raff James Holt AAML 25 6 0 05 Dec 2022
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning Zheren Fu Zhendong Mao Bo Hu An-an Liu Yongdong Zhang 23 5 0 29 Nov 2022
Revisiting Distance Metric Learning for Few-Shot Natural Language Classification Witold Sosnowski Anna Wróblewska Karolina Seweryn P. Gawrysiak 21 0 0 28 Nov 2022
Lempel-Ziv Networks Rebecca Saul Mohammad Mahmudul Alam John Hurwitz Edward Raff Tim Oates James Holt 23 2 0 23 Nov 2022