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Embedding Expansion: Augmentation in Embedding Space for Deep Metric
  Learning
v1v2v3 (latest)

Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning

Computer Vision and Pattern Recognition (CVPR), 2020
5 March 2020
ByungSoo Ko
Geonmo Gu
ArXiv (abs)PDFHTML

Papers citing "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning"

18 / 18 papers shown
VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression
VVS: Video-to-Video Retrieval with Irrelevant Frame SuppressionAAAI Conference on Artificial Intelligence (AAAI), 2023
Won Jo
Geuntaek Lim
Gwangjin Lee
Hyunwoo J. Kim
ByungSoo Ko
Yukyung Choi
409
10
0
15 Mar 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and ExplainabilityACM Computing Surveys (ACM CSUR), 2022
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
369
60
0
21 Dec 2022
Intra-class Adaptive Augmentation with Neighbor Correction for Deep
  Metric Learning
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric LearningIEEE transactions on multimedia (IEEE TMM), 2022
Zheren Fu
Zhendong Mao
Bo Hu
An-an Liu
Yongdong Zhang
290
7
0
29 Nov 2022
Contrastive Bayesian Analysis for Deep Metric Learning
Contrastive Bayesian Analysis for Deep Metric LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Shichao Kan
Zhiquan He
Yigang Cen
Yang Li
Mladenovic Vladimir
Z. He
338
24
0
10 Oct 2022
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Granularity-aware Adaptation for Image Retrieval over Multiple TasksEuropean Conference on Computer Vision (ECCV), 2022
Jon Almazán
ByungSoo Ko
Geonmo Gu
Diane Larlus
Yannis Kalantidis
ObjDVLM
330
8
0
05 Oct 2022
Deep Metric Learning with Chance Constraints
Deep Metric Learning with Chance ConstraintsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Y. Z. Gürbüz
Ogul Can
A. Aydin Alatan
478
3
0
19 Sep 2022
Learning to Generate Novel Classes for Deep Metric Learning
Learning to Generate Novel Classes for Deep Metric LearningBritish Machine Vision Conference (BMVC), 2022
Kyungmoo Lee
Sungyeon Kim
Seunghoon Hong
Suha Kwak
277
1
0
04 Jan 2022
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID
Multi-Centroid Representation Network for Domain Adaptive Person Re-IDAAAI Conference on Artificial Intelligence (AAAI), 2021
Yuhang Wu
Tengteng Huang
Haotian Yao
Fangqiu Yi
Yuanjie Shao
Chuchu Han
Changxin Gao
Nong Sang
311
70
0
22 Dec 2021
Adaptive Feature Interpolation for Low-Shot Image Generation
Adaptive Feature Interpolation for Low-Shot Image GenerationEuropean Conference on Computer Vision (ECCV), 2021
M. Dai
Haibin Hang
Xiaoyang Guo
GAN
435
15
0
04 Dec 2021
Construct Informative Triplet with Two-stage Hard-sample Generation
Construct Informative Triplet with Two-stage Hard-sample Generation
Chuang Zhu
Zheng Hu
Huihui Dong
Gang He
Zekuan Yu
Shangshang Zhang
314
4
0
04 Dec 2021
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric
  Learning
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning
Bhavya Vasudeva
Puneesh Deora
Saumik Bhattacharya
Umapada Pal
S. Chanda
268
16
0
20 Aug 2021
Improving Contrastive Learning by Visualizing Feature Transformation
Improving Contrastive Learning by Visualizing Feature TransformationIEEE International Conference on Computer Vision (ICCV), 2021
Rui Zhu
Bingchen Zhao
Jingen Liu
Zhenglong Sun
Chen Chen
SSL
372
85
0
06 Aug 2021
Hotel Recognition via Latent Image Embedding
Hotel Recognition via Latent Image Embedding
B. Tseytlin
Ilya Makarov
DMLSSL
237
9
0
15 Jun 2021
It Takes Two to Tango: Mixup for Deep Metric Learning
It Takes Two to Tango: Mixup for Deep Metric LearningInternational Conference on Learning Representations (ICLR), 2021
Shashanka Venkataramanan
Bill Psomas
Ewa Kijak
Laurent Amsaleg
Konstantinos Karantzalos
Yannis Avrithis
283
32
0
09 Jun 2021
Human-Aided Saliency Maps Improve Generalization of Deep Learning
Human-Aided Saliency Maps Improve Generalization of Deep LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Aidan Boyd
Kevin W. Bowyer
A. Czajka
AAML
397
34
0
07 May 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric
  Learning
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Geonmo Gu
ByungSoo Ko
Han-Gyu Kim
220
44
0
29 Mar 2021
Embedding Transfer with Label Relaxation for Improved Metric Learning
Embedding Transfer with Label Relaxation for Improved Metric LearningComputer Vision and Pattern Recognition (CVPR), 2021
Sungyeon Kim
Dongwon Kim
Minsu Cho
Suha Kwak
296
43
0
27 Mar 2021
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive LearningNeural Information Processing Systems (NeurIPS), 2020
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
749
743
0
02 Oct 2020
1
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