Sampling Matters in Deep Embedding Learning

23 June 2017

Papers citing "Sampling Matters in Deep Embedding Learning"

50 / 168 papers shown

Title
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis Sijia Zhou Yunwen Lei Ata Kabán 34 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 246 0 0 21 Feb 2025
Hybrid Losses for Hierarchical Embedding Learning Haokun Tian Stefan Lattner Brian McFee Charalampos Saitis 50 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 71 0 0 19 Jan 2025
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring Eirini Cholopoulou D. Iakovidis AAML 30 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 55 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 51 1 0 28 May 2024
Leveraging Large Language Models for Multimodal Search Oriol Barbany Michael Huang Xinliang Zhu Arnab Dhua 31 9 0 24 Apr 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 34 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 43 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 33 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 46 7 0 01 Jan 2024
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval Qiwei Tian Chenhao Lin Zhengyu Zhao Qian Li Chao Shen 34 2 0 12 Dec 2023
Estimation of embedding vectors in high dimensions G. A. Azar M. Emami A. Fletcher Sundeep Rangan 32 1 0 12 Dec 2023
Query by Activity Video in the Wild Tao Hu William Thong Pascal Mettes Cees G. M. Snoek 26 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 13 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 44 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 28 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 A. Aydin Alatan FedML 46 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 36 4 0 13 Jul 2023
Mean Field Theory in Deep Metric Learning Takuya Furusawa 33 2 0 27 Jun 2023
Global Proxy-based Hard Mining for Visual Place Recognition A. Ali-bey B. Chaib-draa Philippe Giguère 24 6 0 28 Feb 2023
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation Yash J. Patel Yusheng Xie Yi Zhu Srikar Appalaraju R. Manmatha 37 4 0 07 Feb 2023
Learning Generalized Hybrid Proximity Representation for Image Recognition Zhiyuan Li Anca L. Ralescu 26 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 31 11 0 27 Jan 2023
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints Nina Shvetsova Felix Petersen Anna Kukleva Bernt Schiele Hilde Kuehne SSL 49 12 0 05 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 38 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
Informative Sample-Aware Proxy for Deep Metric Learning Aoyu Li Ikuro Sato Kohta Ishikawa Rei Kawakami Rio Yokota 24 1 0 18 Nov 2022
Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection Jianwei Zhang J. Liss Suren Jayasuriya Visar Berisha 41 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 26 14 0 17 Nov 2022
Probabilistic Deep Metric Learning for Hyperspectral Image Classification Cheng-Hao Wang Wenzhao Zheng Xian Sun Jiwen Lu Jie Zhou 19 1 0 15 Nov 2022
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo Rong Jin Jiebo Luo Tianbao Yang FedML 47 8 0 26 Oct 2022
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization Christopher Liao Theodoros Tsiligkaridis Brian Kulis SSL 34 5 0 04 Oct 2022
Sampling Agnostic Feature Representation for Long-Term Person Re-identification Seongyeop Yang Byeongkeun Kang Yeejin Lee OOD 25 16 0 20 Sep 2022
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can A. Aydin Alatan 29 2 0 19 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences S. Roy Yan Han Mehrtash Harandi L. Petersson 25 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 26 19 0 17 Aug 2022
GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training Jaeseok Byun Taebaek Hwang Jianlong Fu Taesup Moon VLM 23 11 0 08 Aug 2022
KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach A.B. Bahaj Safae Lhazmir Mounir Ghogho 19 1 0 29 Jul 2022
Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching Mario Almagro David Jiménez-Cabello Diego Ortego Emilio Almazán Eva Martínez 27 3 0 05 Jul 2022
Hierarchical Average Precision Training for Pertinent Image Retrieval Elias Ramzi Nicolas Audebert Nicolas Thome Clément Rambour Xavier Bitot 18 6 0 05 Jul 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis V. SukeshAdiga Jose Dolz H. Lombaert 23 1 0 18 Jun 2022
Improving Generalization of Metric Learning via Listwise Self-distillation Zelong Zeng Fan Yang Zhilin Wang Shiníchi Satoh FedML 46 1 0 17 Jun 2022
Guided Deep Metric Learning Jorge Gonzalez-Zapata Iván Reyes-Amezcua Daniel Flores-Araiza M. Mendez-Ruiz G. Ochoa-Ruiz Andres Mendez-Vazquez FedML 34 5 0 04 Jun 2022
Fast and Light-Weight Answer Text Retrieval in Dialogue Systems H. Wan S. Patel J. William Murdock Saloni Potdar Sachindra Joshi 34 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