Introspective Deep Metric Learning

11 September 2023

Jie Zhou

Papers citing "Introspective Deep Metric Learning"

46 / 46 papers shown

Title
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions Cheng-Hao Wang Wenzhao Zheng Zhengbiao Zhu Jie Zhou Jiwen Lu SSL AI4TS 67 4 0 11 Oct 2022
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework Shu Zhen Zhang Ran Xu Caiming Xiong Chetan Ramaiah SSL 44 69 0 27 Apr 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 166 512 0 13 Apr 2022
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation Feng Wang Huiyu Wang Chen Wei Alan Yuille Wei Shen SSL VLM 48 35 0 22 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 74 39 0 16 Mar 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 107 5,137 0 10 Jan 2022
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 239 492 0 01 Oct 2021
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 63 14 0 09 Sep 2021
Towards Interpretable Deep Metric Learning with Structural Matching Wenliang Zhao Yongming Rao Ziyi Wang Jiwen Lu Jie Zhou FedML 47 47 0 12 Aug 2021
DetCo: Unsupervised Contrastive Learning for Object Detection Enze Xie Jian Ding Wenhai Wang Xiaohang Zhan Hang Xu Peize Sun Zhenguo Li Ping Luo 71 321 0 09 Feb 2021
Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun Seong Joon Oh Rafael Sampaio de Rezende Yannis Kalantidis Diane Larlus UQCV 459 205 0 13 Jan 2021
Few-Shot Classification with Feature Map Reconstruction Networks Davis Wertheimer Luming Tang B. Hariharan 73 238 0 02 Dec 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 242 4,036 0 20 Nov 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 73 389 0 15 Sep 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 325 6,773 0 13 Jun 2020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization A. Uddin Sirazam Monira Wheemyung Shin TaeChoong Chung Sung-Ho Bae 44 228 0 02 Jun 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis Eu Wern Teh Terrance Devries Graham W. Taylor 55 158 0 02 Apr 2020
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition Luming Tang Davis Wertheimer B. Hariharan 62 49 0 01 Apr 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 132 476 0 18 Mar 2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization Yifan Sun Changmao Cheng Yuhan Zhang Chi Zhang Liang Zheng Zhongdao Wang Yichen Wei 83 857 0 25 Feb 2020
View-Invariant Probabilistic Embedding for Human Pose Jennifer J. Sun Jiaping Zhao Liang-Chieh Chen Florian Schroff Hartwig Adam Ting Liu 46 77 0 02 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 153 12,050 0 13 Nov 2019
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Pierre Jacob David Picard A. Histace Edouard Klein DML 56 59 0 07 Aug 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 602 4,766 0 13 May 2019
Probabilistic Face Embeddings Yichun Shi Anil K. Jain CVBM 60 310 0 21 Apr 2019
Improved Embeddings with Easy Positive Triplet Mining Hong Xuan Abby Stylianou Robert Pless 73 133 0 08 Apr 2019
Learning to Cluster Faces on an Affinity Graph Lei Yang Xiaohang Zhan Dapeng Chen Junjie Yan Chen Change Loy Dahua Lin 3DH CVBM GNN 45 125 0 04 Apr 2019
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 105 914 0 30 Oct 2018
Deep Randomized Ensembles for Metric Learning Hong Xuan Richard Souvenir Robert Pless UQCV OOD 72 102 0 13 Aug 2018
Attention-based Ensemble for Deep Metric Learning Wonsik Kim Bhavya Goyal Kunal Chawla Jungmin Lee Keunjoo Kwon FedML 68 227 0 02 Apr 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 139 1,424 0 24 Mar 2018
Model-Ensemble Trust-Region Policy Optimization Thanard Kurutach I. Clavera Yan Duan Aviv Tamar Pieter Abbeel 65 451 0 28 Feb 2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly M. Opitz Georg Waltner Horst Possegger Horst Bischof FedML OOD 77 166 0 15 Jan 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 264 9,743 0 25 Oct 2017
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 92 922 0 23 Jun 2017
Beyond triplet loss: a deep quadruplet network for person re-identification Weihua Chen Xiaotang Chen Jianguo Zhang Kaiqi Huang 78 1,140 0 06 Apr 2017
Smart Mining for Deep Metric Learning Ben Harwood B. V. Kumar G. Carneiro Ian Reid Tom Drummond 55 350 0 05 Apr 2017
No Fuss Distance Metric Learning using Proxies Yair Movshovitz-Attias Alexander Toshev Thomas Leung Sergey Ioffe Saurabh Singh 75 640 0 21 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 326 4,700 0 15 Mar 2017
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 182 2,352 0 30 Mar 2016
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 89 1,641 0 19 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 328 13,123 0 12 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 407 43,234 0 11 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 388 43,589 0 17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.3K 39,472 0 01 Sep 2014
Learning Fine-grained Image Similarity with Deep Ranking Jiang Wang Yang Song Thomas Leung C. Rosenberg Jingbin Wang James Philbin Bo Chen Ying Nian Wu SSL 103 1,317 0 17 Apr 2014