Sampling Matters in Deep Embedding Learning

23 June 2017

Papers citing "Sampling Matters in Deep Embedding Learning"

50 / 168 papers shown

Title
CoupleFace: Relation Matters for Face Recognition Distillation Jiaheng Liu Haoyu Qin Yichao Wu Jinyang Guo Ding Liang Ke Xu CVBM 36 19 0 12 Apr 2022
OutfitTransformer: Learning Outfit Representations for Fashion Recommendation Rohan Sarkar Navaneeth Bodla Mariya I. Vasileva Yen-Liang Lin Anu Beniwal Alan Lu Gérard Medioni 27 35 0 11 Apr 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
Attributable Visual Similarity Learning Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 22 17 0 28 Mar 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 37 15 0 23 Mar 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
DiFT: Differentiable Differential Feature Transform for Multi-View Stereo Kaizhang Kang Chong Zeng Hongzhi Wu Kun Zhou 24 0 0 16 Mar 2022
STUN: Self-Teaching Uncertainty Estimation for Place Recognition Kaiwen Cai Chris Xiaoxuan Lu Xiaowei Huang 31 11 0 03 Mar 2022
Audio Self-supervised Learning: A Survey Shuo Liu Adria Mallol-Ragolta Emilia Parada-Cabeleiro Kun Qian Xingshuo Jing Alexander Kathan Bin Hu Bjoern W. Schuller SSL 42 106 0 02 Mar 2022
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings Malte Ostendorff Nils Rethmeier Isabelle Augenstein Bela Gipp Georg Rehm 28 73 0 14 Feb 2022
Approximate Policy Iteration with Bisimulation Metrics Mete Kemertas Allan D. Jepson 37 7 0 06 Feb 2022
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime Prarthana Bhattacharyya Chenge Li Xiaonan Zhao István Fehérvári Jason Sun ViT 39 2 0 22 Jan 2022
Adaptive neighborhood Metric learning Kun Song Junwei Han Gong Cheng Jiwen Lu Feiping Nie 17 27 0 20 Jan 2022
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation Hejie Cui Jiaying Lu Yao Ge Carl Yang 42 22 0 12 Jan 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 23 4 0 06 Dec 2021
Pairwise Learning for Neural Link Prediction Zhitao Wang Yong Zhou L. Jeff Hong Yuanhang Zou Hanjing Su Shouzhi Chen 20 26 0 06 Dec 2021
Construct Informative Triplet with Two-stage Hard-sample Generation Chuang Zhu Zheng Hu Huihui Dong Gang He Zekuan Yu Shangshang Zhang 36 3 0 04 Dec 2021
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification Lizhe Liu Mingqiang Chen Xiaohao Chen Siyu Zhu Ping Tan CVBM 19 4 0 22 Nov 2021
Full-attention based Neural Architecture Search using Context Auto-regression Yuan Zhou Haiyang Wang Shuwei Huo Boyu Wang 33 3 0 13 Nov 2021
Constrained Mean Shift for Representation Learning Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL 45 0 0 19 Oct 2021
TLDR: Twin Learning for Dimensionality Reduction Yannis Kalantidis Carlos Lassance Jon Almazán Diane Larlus SSL 27 10 0 18 Oct 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining Weizhe Hua Yichi Zhang Chuan Guo Zhiru Zhang G. E. Suh OOD 39 15 0 29 Sep 2021
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 39 14 0 09 Sep 2021
Unsupervised Learning of Deep Features for Music Segmentation Matthew C. McCallum SSL 15 39 0 30 Aug 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
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations Josh Beal Hao Wu Dong Huk Park Andrew Zhai Dmitry Kislyuk ViT 21 29 0 12 Aug 2021
SphereFace2: Binary Classification is All You Need for Deep Face Recognition Yandong Wen Weiyang Liu Adrian Weller Bhiksha Raj Rita Singh CVBM MQ 24 53 0 03 Aug 2021
Place recognition survey: An update on deep learning approaches T. Barros Ricardo Pereira L. Garrote C. Premebida U. J. Nunes 27 28 0 19 Jun 2021
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks K. Al-Kaabi R. Monsefi Davood Zabihzadeh 33 8 0 11 Jun 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
Incremental False Negative Detection for Contrastive Learning Tsai-Shien Chen Wei-Chih Hung Hung-Yu Tseng Shao-Yi Chien Ming-Hsuan Yang SSL CLL 18 61 0 07 Jun 2021
TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields Tianhan Xu Yuanchen Guo Zhiqiang Li Ge Yu Yu-Kun Lai Song-Hai Zhang 3DPC 29 52 0 25 May 2021
VS-Net: Voting with Segmentation for Visual Localization Zhaoyang Huang Han Zhou Yijin Li Bangbang Yang Yan Xu Xiaowei Zhou Hujun Bao Guofeng Zhang Hongsheng Li 3DPC 22 43 0 23 May 2021
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval Gencer Sumbul Mahdyar Ravanbakhsh Begüm Demir 24 23 0 08 May 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
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 27 36 0 29 Mar 2021
Modeling the Compatibility of Stem Tracks to Generate Music Mashups Jiawen Huang Ju-Chiang Wang Jordan B. L. Smith Xuchen Song Yuxuan Wang 16 13 0 26 Mar 2021
Instance-level Image Retrieval using Reranking Transformers Fuwen Tan Jiangbo Yuan Vicente Ordonez ViT 28 89 0 22 Mar 2021
Cluster Contrast for Unsupervised Person Re-Identification Zuozhuo Dai Guangyuan Wang Weihao Yuan Xiaoli Liu Siyu Zhu P. Tan 28 212 0 22 Mar 2021
NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition S. S. Khalid Muhammad Awais Chi-Ho Chan Zhenhua Feng Ammarah Farooq A. Akbari J. Kittler CVBM 19 10 0 05 Mar 2021
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding Shohreh Deldari Daniel V. Smith Hao Xue Flora D. Salim AI4TS 27 107 0 28 Nov 2020
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval Frederik Warburg Martin Jørgensen Javier Civera Søren Hauberg UQCV 31 36 0 25 Nov 2020
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping Xinyi Xu Zhangyang Wang Cheng Deng Hao Yuan Shuiwang Ji FedML 25 14 0 17 Nov 2020
MinkLoc3D: Point Cloud Based Large-Scale Place Recognition J. Komorowski 3DPC 47 187 0 09 Nov 2020
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies Yuehua Zhu Muli Yang Cheng Deng Wei Liu 27 55 0 26 Oct 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 186 687 0 10 Oct 2020
Contrastive Learning with Hard Negative Samples Joshua Robinson Ching-Yao Chuang S. Sra Stefanie Jegelka SSL 75 759 0 09 Oct 2020
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 53 630 0 02 Oct 2020