Ranked List Loss for Deep Metric Learning

8 March 2019

Papers citing "Ranked List Loss for Deep Metric Learning"

26 / 26 papers shown

Title
VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts Wenjie Hu Hongjian Zhan Xinchen Ma Cong Liu Bing Yin Yue Lu 14 0 0 03 Apr 2023
Adaptive Sparse Pairwise Loss for Object Re-Identification Xiao Zhou Yujie Zhong Zhen Cheng Fan Liang Lin Ma 11 39 0 31 Mar 2023
PromptORE -- A Novel Approach Towards Fully Unsupervised Relation Extraction Pierre-Yves Genest Pierre-Edouard Portier Elöd Egyed-Zsigmond L. Goix LRM 17 12 0 24 Mar 2023
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap Weiyang Liu L. Yu Adrian Weller Bernhard Schölkopf 32 17 0 11 Mar 2023
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning Zheren Fu Zhendong Mao Bo Hu An-an Liu Yongdong Zhang 21 5 0 29 Nov 2022
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can Aydin Alatan 19 2 0 19 Sep 2022
CSSAM:Code Search via Attention Matching of Code Semantics and Structures Y. Hu Bowen Cai Yaoxiang Yu 15 3 0 08 Aug 2022
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification Hyungtae Lee Sungmin Eum H. Kwon VLM 15 4 0 20 Jul 2022
TCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response Jie Gao Jing Hu Wan-Na Sun Yili Shen Xiaonan Zhang Xiaomin Fang Fan Wang Guo-Guo Zhao MedIm 14 2 0 10 Jul 2022
Variational Distillation for Multi-View Learning Xudong Tian Zhizhong Zhang Cong Wang Wensheng Zhang Yanyun Qu Lizhuang Ma Zongze Wu Yuan Xie Dacheng Tao 20 5 0 20 Jun 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
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 17 0 0 12 Sep 2021
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 24 14 0 09 Sep 2021
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval Gencer Sumbul Mahdyar Ravanbakhsh Begum Demir 14 23 0 08 May 2021
Mutual Contrastive Learning for Visual Representation Learning Chuanguang Yang Zhulin An Linhang Cai Yongjun Xu VLM SSL 97 74 0 26 Apr 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 16 36 0 29 Mar 2021
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding Shohreh Deldari Daniel V. Smith Hao Xue Flora D. Salim AI4TS 12 107 0 28 Nov 2020
Temporal Context Aggregation for Video Retrieval with Contrastive Learning Jie Shao Xin Wen Bingchen Zhao Xiangyang Xue AI4TS 30 4 0 04 Aug 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
Water level prediction from social media images with a multi-task ranking approach P. Chaudhary Stefano Dáronco J. Leitão K. Schindler Jan Dirk Wegner 18 46 0 14 Jul 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 30 474 0 18 Mar 2020
M $^5$ L: Multi-Modal Multi-Margin Metric Learning for RGBT Tracking Zhengzheng Tu Chun Lin Chenglong Li Jin Tang Bin Luo 102 60 0 17 Mar 2020
Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification Di Wu Chao Wang Yong Wu De-Shuang Huang 13 53 0 23 Nov 2019
Designovel's system description for Fashion-IQ challenge 2019 Jianri Li Xieyuanli Chen Zongtan Zhou Ki-young Shin Huimin Lu 14 6 0 21 Oct 2019
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters Xinshao Wang Yang Hua Elyor Kodirov David A. Clifton N. Robertson NoLa 16 62 0 28 Mar 2019
Classification is a Strong Baseline for Deep Metric Learning Andrew Zhai Hao Wu VLM 32 25 0 30 Nov 2018