Recall@k Surrogate Loss with Large Batches and Similarity Mixup

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"

12 / 12 papers shown

Title
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
Generalizable Embeddings with Cross-batch Metric Learning Y. Z. Gürbüz Aydin Alatan FedML 36 2 0 14 Jul 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 20 18 0 24 Mar 2023
Data Roaming and Quality Assessment for Composed Image Retrieval Matan Levy Rami Ben-Ari N. Darshan Dani Lischinski 35 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 27 4 0 07 Feb 2023
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
Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training J. Komorowski 3DPC 25 62 0 02 Mar 2022
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 19 0 0 12 Sep 2021
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification Gabriel Bénédict Vincent Koops Daan Odijk Maarten de Rijke 27 30 0 24 Aug 2021
Learning and aggregating deep local descriptors for instance-level recognition Giorgos Tolias Tomás Jenícek Ondvrej Chum FedML 170 100 0 26 Jul 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 37 163 0 23 Jul 2020