Sampling Matters in Deep Embedding Learning

23 June 2017

Papers citing "Sampling Matters in Deep Embedding Learning"

50 / 117 papers shown

Title
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis Sijia Zhou Yunwen Lei Ata Kabán 29 0 0 03 Apr 2025
ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval Guanqi Zhan Yuanpei Liu Kai Han Weidi Xie Andrew Zisserman VLM 156 0 0 21 Feb 2025
Hybrid Losses for Hierarchical Embedding Learning Haokun Tian Stefan Lattner Brian McFee Charalampos Saitis 43 0 0 22 Jan 2025
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection Zhipeng Yu Qianqian Xu Yangbangyan Jiang Yingfei Sun Qingming Huang NoLa 69 0 0 19 Jan 2025
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring Eirini Cholopoulou D. Iakovidis AAML 26 0 0 20 Sep 2024
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 45 5 0 02 Sep 2024
An Empirical Comparison of Video Frame Sampling Methods for Multi-Modal RAG Retrieval Mahesh Kandhare Thibault Gisselbrecht 35 5 0 22 Jul 2024
Potential Field Based Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 42 1 0 28 May 2024
Leveraging Large Language Models for Multimodal Search Oriol Barbany Michael Huang Xinliang Zhu Arnab Dhua 29 9 0 24 Apr 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 30 1 0 23 Apr 2024
Edit3K: Universal Representation Learning for Video Editing Components Xin Gu Libo Zhang Fan Chen Longyin Wen Yufei Wang Tiejian Luo Sijie Zhu 35 4 0 24 Mar 2024
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing Jaeill Kim Duhun Hwang Eunjung Lee Jangwon Suh Jimyeong Kim Wonjong Rhee 28 0 0 11 Jan 2024
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain Adaptation Li Ren Chen Chen Liqiang Wang Kien Hua 31 7 0 01 Jan 2024
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval Qiwei Tian Chenhao Lin Zhengyu Zhao Qian Li Chao Shen 21 2 0 12 Dec 2023
Estimation of embedding vectors in high dimensions G. A. Azar M. Emami A. Fletcher Sundeep Rangan 19 1 0 12 Dec 2023
Query by Activity Video in the Wild Tao Hu William Thong Pascal Mettes Cees G. M. Snoek 22 0 0 23 Nov 2023
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples Ziye Fang Xin Jiang Hao Tang Zechao Li 30 12 0 10 Nov 2023
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond Oren Barkan Tal Reiss Jonathan Weill Ori Katz Roy Hirsch Itzik Malkiel Noam Koenigstein 32 6 0 28 Aug 2023
CoNe: Contrast Your Neighbours for Supervised Image Classification Mingkai Zheng Shan You Lang Huang Xiu Su Fei Wang Chao Qian Xiaogang Wang Chang Xu VLM 20 0 0 21 Aug 2023
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients Mete Kemertas Allan D. Jepson Amir-massoud Farahmand OT 58 3 0 17 Jul 2023
Generalizable Embeddings with Cross-batch Metric Learning Y. Z. Gürbüz Aydin Alatan FedML 36 2 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 28 4 0 13 Jul 2023
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation Yash J. Patel Yusheng Xie Yi Zhu Srikar Appalaraju R. Manmatha 27 4 0 07 Feb 2023
Learning Generalized Hybrid Proximity Representation for Image Recognition Zhiyuan Li Anca L. Ralescu 21 3 0 31 Jan 2023
Enhancing Face Recognition with Latent Space Data Augmentation and Facial Posture Reconstruction Soroush Hashemifar Abdolreza Marefat Javad Hassannataj Joloudari H. Hassanpour CVBM 21 11 0 27 Jan 2023
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets Michael Luke Battle Amir Atapour-Abarghouei A. Mcgough 25 2 0 12 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
Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning Chenkang Zhang Lei Luo Bin Gu 30 4 0 19 Nov 2022
Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection Jianwei Zhang J. Liss Suren Jayasuriya Visar Berisha 28 6 0 17 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey Yuecong Xu Haozhi Cao Zhenghua Chen Xiaoli Li Lihua Xie Jianfei Yang 24 14 0 17 Nov 2022
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo R. L. Jin Jiebo Luo Tianbao Yang FedML 45 8 0 26 Oct 2022
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can Aydin Alatan 19 2 0 19 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences S. Roy Yan Han Mehrtash Harandi L. Petersson 12 0 0 14 Sep 2022
Sampling Through the Lens of Sequential Decision Making J. Dou Alvin Pan Runxue Bao Haiyi Mao Lei Luo Zhi-Hong Mao 24 19 0 17 Aug 2022
Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching Mario Almagro David Jiménez-Cabello Diego Ortego Emilio Almazán Eva Martínez 19 3 0 05 Jul 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis V. SukeshAdiga Jose Dolz H. Lombaert 18 1 0 18 Jun 2022
Improving Generalization of Metric Learning via Listwise Self-distillation Zelong Zeng Fan Yang Z. Wang Shiníchi Satoh FedML 30 1 0 17 Jun 2022
Fast and Light-Weight Answer Text Retrieval in Dialogue Systems H. Wan S. Patel J. William Murdock Saloni Potdar Sachindra Joshi 30 1 0 27 May 2022
Generalized Knowledge Distillation via Relationship Matching Han-Jia Ye Su Lu De-Chuan Zhan FedML 22 20 0 04 May 2022
CoupleFace: Relation Matters for Face Recognition Distillation Jiaheng Liu Haoyu Qin Yichao Wu Jinyang Guo Ding Liang Ke Xu CVBM 21 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 19 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 24 12 0 04 Apr 2022
Attributable Visual Similarity Learning Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 16 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 21 15 0 23 Mar 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning Aleksandr Ermolov L. Mirvakhabova Valentin Khrulkov N. Sebe Ivan V. Oseledets 25 100 0 21 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 19 36 0 16 Mar 2022
DiFT: Differentiable Differential Feature Transform for Multi-View Stereo Kaizhang Kang Chong Zeng Hongzhi Wu Kun Zhou 14 0 0 16 Mar 2022
STUN: Self-Teaching Uncertainty Estimation for Place Recognition Kaiwen Cai Chris Xiaoxuan Lu Xiaowei Huang 19 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 29 106 0 02 Mar 2022
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings Malte Ostendorff Nils Rethmeier Isabelle Augenstein Bela Gipp Georg Rehm 16 73 0 14 Feb 2022