Recall@k Surrogate Loss with Large Batches and Similarity Mixup

25 August 2021

Papers citing "Recall@k Surrogate Loss with Large Batches and Similarity Mixup"

35 / 35 papers shown

Title
LOCORE: Image Re-ranking with Long-Context Sequence Modeling Zilin Xiao Pavel Suma Ayush Sachdeva Hao-Jen Wang Giorgos Kordopatis-Zilos Giorgos Tolias Vicente Ordonez 59 0 0 27 Mar 2025
A Unified Deep Semantic Expansion Framework for Domain-Generalized Person Re-identification Eugene P. W. Ang Shan Lin Alex C. Kot 35 2 0 11 Oct 2024
Realigned Softmax Warping for Deep Metric Learning Michael DeMoor John J. Prevost 41 1 0 28 Aug 2024
ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation Yannis Karmim Elias Ramzi Raphael Fournier SÑiehotta Nicolas Thome 27 0 0 03 Jul 2024
UDON: Universal Dynamic Online distillatioN for generic image representations Nikolaos-Antonios Ypsilantis Kaifeng Chen André Araujo Ondřej Chum 37 3 0 12 Jun 2024
How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval? Subhadeep Koley A. Bhunia Aneeshan Sain Pinaki Nath Chowdhury Tao Xiang Yi-Zhe Song 49 8 0 11 Mar 2024
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation Wentao Shi Chenxu Wang Fuli Feng Yang Zhang Wenjie Wang Junkang Wu Xiangnan He 34 1 0 29 Feb 2024
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning Li Ren Chen Chen Liqiang Wang Kien Hua 24 4 0 04 Feb 2024
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain Adaptation Li Ren Chen Chen Liqiang Wang Kien Hua 36 7 0 01 Jan 2024
Optimization of Rank Losses for Image Retrieval Elias Ramzi Nicolas Audebert Clément Rambour André Araujo Xavier Bitot Nicolas Thome 21 4 0 15 Sep 2023
Generalized Sum Pooling for Metric Learning †. YetiZ.Gürbüz Ozan Sener Alatan RSiM FedML 30 6 0 18 Aug 2023
Center Contrastive Loss for Metric Learning Bolun Cai Pengfei Xiong Shangxuan Tian SSL 15 7 0 01 Aug 2023
Generalizable Embeddings with Cross-batch Metric Learning Y. Z. Gürbüz Aydin Alatan FedML 36 2 0 14 Jul 2023
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning Q. Zhang Linghan Xu Qingming Tang Jun Fang Yingqi Wu Joseph Tighe Yifan Xing 22 4 0 08 Jul 2023
LibAUC: A Deep Learning Library for X-Risk Optimization Zhuoning Yuan Dixian Zhu Zimeng Qiu Gang Li Xuanhui Wang Tianbao Yang BDL 43 16 0 05 Jun 2023
Class Anchor Margin Loss for Content-Based Image Retrieval Alexandru Ghita Radu Tudor Ionescu 21 1 0 01 Jun 2023
Chatting Makes Perfect: Chat-based Image Retrieval Matan Levy Rami Ben-Ari N. Darshan Dani Lischinski 58 14 0 31 May 2023
Learning for Transductive Threshold Calibration in Open-World Recognition Q. Zhang Dongsheng An Tianjun Xiao Tong He Qingming Tang Ying Nian Wu Joseph Tighe Yifan Xing Stefano Soatto 34 0 0 19 May 2023
Infinite Class Mixup Thomas Mensink Pascal Mettes 29 2 0 17 May 2023
STIR: Siamese Transformer for Image Retrieval Postprocessing Aleksei Shabanov Aleksei Tarasov Sergey I. Nikolenko 17 4 0 26 Apr 2023
Unicom: Universal and Compact Representation Learning for Image Retrieval Xiang An Jiankang Deng Kaicheng Yang Jaiwei Li Ziyong Feng Jia Guo Jing Yang Tongliang Liu VLM SSL 32 26 0 12 Apr 2023
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR Aneeshan Sain A. Bhunia Subhadeep Koley Pinaki Nath Chowdhury Soumitri Chattopadhyay Tao Xiang Yi-Zhe Song 25 18 0 24 Mar 2023
Data Roaming and Quality Assessment for Composed Image Retrieval Matan Levy Rami Ben-Ari N. Darshan Dani Lischinski 40 23 0 16 Mar 2023
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation Yash J. Patel Yusheng Xie Yi Zhu Srikar Appalaraju R. Manmatha 32 4 0 07 Feb 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 21 28 0 21 Dec 2022
NBC-Softmax : Darkweb Author fingerprinting and migration tracking Gayan K. Kulatilleke Shekhar S. Chandra Marius Portmann 34 0 0 15 Dec 2022
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can Aydin Alatan 19 2 0 19 Sep 2022
Algorithmic Foundations of Empirical X-risk Minimization Tianbao Yang 33 5 0 01 Jun 2022
EXACT: How to Train Your Accuracy I. Karpukhin Stanislav Dereka Sergey Kolesnikov 16 0 0 19 May 2022
Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training J. Komorowski 3DPC 27 62 0 02 Mar 2022
DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold T. Furuya Ryutarou Ohbuchi DiffM 20 1 0 14 Dec 2021
A Decidability-Based Loss Function Pedro H. L. Silva Gladston J. P. Moreira Vander L. S. Freitas Rodrigo Silva David Menotti Eduardo José da S. Luz CVBM 22 0 0 12 Sep 2021
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification Gabriel Bénédict Vincent Koops Daan Odijk Maarten de Rijke 29 30 0 24 Aug 2021
Learning and aggregating deep local descriptors for instance-level recognition Giorgos Tolias Tomás Jenícek Ondvrej Chum FedML 178 100 0 26 Jul 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 44 163 0 23 Jul 2020