Sampling Matters in Deep Embedding Learning

23 June 2017

Papers citing "Sampling Matters in Deep Embedding Learning"

50 / 120 papers shown

Title
Approximate Policy Iteration with Bisimulation Metrics Mete Kemertas Allan D. Jepson 27 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 34 2 0 22 Jan 2022
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings Siqi Wang Manyuan Lu Nikita Moshkov Juan C. Caicedo Bryan A. Plummer 13 4 0 06 Dec 2021
Pairwise Learning for Neural Link Prediction Zhitao Wang Yong Zhou L. Jeff Hong Yuanhang Zou Hanjing Su Shouzhi Chen 12 26 0 06 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 11 4 0 22 Nov 2021
Full-attention based Neural Architecture Search using Context Auto-regression Yuan Zhou Haiyang Wang Shuwei Huo Boyu Wang 25 3 0 13 Nov 2021
TLDR: Twin Learning for Dimensionality Reduction Yannis Kalantidis Carlos Lassance Jon Almazán Diane Larlus SSL 16 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 24 14 0 09 Sep 2021
Unsupervised Learning of Deep Features for Music Segmentation Matthew C. McCallum SSL 15 39 0 30 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 13 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 16 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 22 27 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 28 8 0 11 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 8 60 0 07 Jun 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 17 43 0 23 May 2021
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval Gencer Sumbul Mahdyar Ravanbakhsh Begum Demir 14 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 20 38 0 29 Mar 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 19 36 0 29 Mar 2021
Instance-level Image Retrieval using Reranking Transformers Fuwen Tan Jiangbo Yuan Vicente Ordonez ViT 21 89 0 22 Mar 2021
Cluster Contrast for Unsupervised Person Re-Identification Zuozhuo Dai Guangyuan Wang Weihao Yuan Xiaoli Liu Siyu Zhu P. Tan 21 212 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 11 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 19 107 0 28 Nov 2020
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping Xinyi Xu Zhangyang Wang Cheng Deng Hao Yuan Shuiwang Ji FedML 19 14 0 17 Nov 2020
MinkLoc3D: Point Cloud Based Large-Scale Place Recognition J. Komorowski 3DPC 21 186 0 09 Nov 2020
Contrastive Learning with Hard Negative Samples Joshua Robinson Ching-Yao Chuang S. Sra Stefanie Jegelka SSL 54 759 0 09 Oct 2020
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 29 628 0 02 Oct 2020
The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances Hang Du Hailin Shi Dan Zeng Xiaoping Zhang Tao Mei OOD 28 118 0 28 Sep 2020
Two-branch Recurrent Network for Isolating Deepfakes in Videos I. Masi Aditya Killekar R. Mascarenhas Shenoy Pratik Gurudatt Wael AbdAlmageed CVBM 13 360 0 08 Aug 2020
Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops Bo-Yu Chen Jordan B. L. Smith Yi-Hsuan Yang 16 13 0 05 Aug 2020
Temporal Context Aggregation for Video Retrieval with Contrastive Learning Jie Shao Xin Wen Bingchen Zhao Xiangyang Xue AI4TS 30 4 0 04 Aug 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 41 163 0 23 Jul 2020
Self-Supervised MultiModal Versatile Networks Jean-Baptiste Alayrac Adrià Recasens R. Schneider Relja Arandjelović Jason Ramapuram J. Fauw Lucas Smaira Sander Dieleman Andrew Zisserman SSL 40 371 0 29 Jun 2020
Cross-Correlated Attention Networks for Person Re-Identification Jieming Zhou S. Roy Pengfei Fang Mehrtash Harandi L. Petersson 16 16 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 66 6,643 0 13 Jun 2020
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation Gaëtan Hadjeres Léopold Crestel 26 18 0 21 Apr 2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification Wei-wei Zhu Haofu Liao Wenbin Li Weijian Li Jiebo Luo 26 17 0 21 Apr 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 36 474 0 18 Mar 2020
Unifying Specialist Image Embedding into Universal Image Embedding Yang Feng Futang Peng Xu-Yao Zhang Wei-wei Zhu Shanfeng Zhang Howard Zhou Zhen Li Tom Duerig Shih-Fu Chang Jiebo Luo SSL 16 5 0 08 Mar 2020
Linking Social Media Posts to News with Siamese Transformers Jacob Danovitch 16 2 0 10 Jan 2020
Distributionally Robust Deep Learning using Hardness Weighted Sampling Lucas Fidon Michael Aertsen Thomas Deprest Doaa Emam Frédéric Guffens ... Andrew Melbourne Sébastien Ourselin Jan Deprest Georg Langs Tom Kamiel Magda Vercauteren OOD 14 10 0 08 Jan 2020
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation Jie Cao Huaibo Huang Yi Li R. He Zhenan Sun 18 7 0 05 Jan 2020
A Simple and Effective Framework for Pairwise Deep Metric Learning Qi Qi Yan Yan Xiaoyu Wang Tianbao Yang 10 26 0 24 Dec 2019
Angular Visual Hardness Beidi Chen Weiyang Liu Zhiding Yu Jan Kautz Anshumali Shrivastava Animesh Garg Anima Anandkumar AAML 40 51 0 04 Dec 2019
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation Gopal Sharma Francis Li Brendan Chwyl 3DPC 3DV 19 11 0 03 Oct 2019
A weakly supervised adaptive triplet loss for deep metric learning Xiaonan Zhao Huan Qi R. Luo Larry S. Davis DML 27 24 0 27 Sep 2019
Deep Metric Learning using Similarities from Nonlinear Rank Approximations Konstantin Schall Kai Uwe Barthel Nico Hezel Klaus Jung DML 15 3 0 20 Sep 2019
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling Qi Qian Lei Shang Baigui Sun Juhua Hu Hao Li R. L. Jin 18 373 0 11 Sep 2019
Recognizing Variables from their Data via Deep Embeddings of Distributions Jonas W. Mueller Alex Smola 8 9 0 11 Sep 2019
Cross-X Learning for Fine-Grained Visual Categorization W. Luo Xitong Yang Xianjie Mo Yuheng Lu L. Davis Jun Li Jian Yang Ser-Nam Lim 77 193 0 10 Sep 2019