A Metric Learning Reality Check

18 March 2020

Ser-Nam Lim

Papers citing "A Metric Learning Reality Check"

50 / 294 papers shown

Title
Recall@k Surrogate Loss with Large Batches and Similarity Mixup Yash J. Patel Giorgos Tolias Jirí Matas VLM 18 53 0 25 Aug 2021
Deep Relational Metric Learning Wenzhao Zheng Borui Zhang Jiwen Lu Jie Zhou 13 43 0 23 Aug 2021
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning Bhavya Vasudeva Puneesh Deora Saumik Bhattacharya Umapada Pal S. Chanda 14 15 0 20 Aug 2021
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision Tilman Krokotsch M. Knaak C. Gühmann 6 22 0 19 Aug 2021
Towards Interpretable Deep Metric Learning with Structural Matching Wenliang Zhao Yongming Rao Ziyi Wang Jiwen Lu Jie Zhou FedML 11 46 0 12 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 14 9 0 04 Aug 2021
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering Chang-rui Liu Han Yu Boyang Albert Li Zhiqi Shen Zhanning Gao Peiran Ren Xuansong Xie Li-zhen Cui C. Miao NoLa 13 0 0 03 Aug 2021
Bridging Gap between Image Pixels and Semantics via Supervision: A Survey Jiali Duan C.-C. Jay Kuo 11 8 0 29 Jul 2021
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models Zhiliang Wu Yinchong Yang Peter A. Fasching Volker Tresp BDL 11 10 0 26 Jul 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning Timo Milbich Karsten Roth Samarth Sinha Ludwig Schmidt Marzyeh Ghassemi Bjorn Ommer OOD OODD 15 22 0 20 Jul 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 34 89 0 14 Jul 2021
The Animal ID Problem: Continual Curation Charles V. Stewart Jason Parham Jason A. Holmberg T. Berger-Wolf 6 8 0 18 Jun 2021
Hotel Recognition via Latent Image Embedding B. Tseytlin Ilya Makarov DML SSL 17 9 0 15 Jun 2021
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective Shulei Wang SSL 22 3 0 14 Jun 2021
Atlas Based Representation and Metric Learning on Manifolds Eric O. Korman 14 3 0 13 Jun 2021
It Takes Two to Tango: Mixup for Deep Metric Learning Shashanka Venkataramanan Bill Psomas Ewa Kijak Laurent Amsaleg Konstantinos Karantzalos Yannis Avrithis 10 25 0 09 Jun 2021
SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning Jiayi Ma Yuxin Deng 23 4 0 08 Jun 2021
Adversarial Attack and Defense in Deep Ranking Mo Zhou Le Wang Zhenxing Niu Qilin Zhang N. Zheng G. Hua OOD 20 14 0 07 Jun 2021
Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs A. Badar Arnav Varma Adrian Staniec Mahmoud Gamal Omar Magdy Haris Iqbal Elahe Arani Bahram Zonooz 15 6 0 06 Jun 2021
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning Zhiliang Wu Yinchong Yang Jindong Gu Volker Tresp UQCV MedIm 20 9 0 01 Jun 2021
TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields Tianhan Xu Yuanchen Guo Zhiqiang Li Ge Yu Yu-Kun Lai Song-Hai Zhang 3DPC 13 51 0 25 May 2021
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks Ruchi Puri David S. Kung G. Janssen Wei Zhang Giacomo Domeniconi ... Saurabh Pujar Shyam Ramji Ulrich Finkler Susan Malaika Frederick Reiss 21 224 0 25 May 2021
True Few-Shot Learning with Language Models Ethan Perez Douwe Kiela Kyunghyun Cho 8 428 0 24 May 2021
Rethinking "Batch" in BatchNorm Yuxin Wu Justin Johnson BDL 27 66 0 17 May 2021
A Deep Metric Learning Approach to Account Linking Aleem Khan Elizabeth Fleming N. Schofield M. Bishop Nicholas Andrews 8 20 0 15 May 2021
Semi-Supervised Metric Learning: A Deep Resurrection U. Dutta Mehrtash Harandi C. Sekhar 12 7 0 10 May 2021
Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset D. Lohr Henry K. Griffith Oleg V. Komogortsev 32 29 0 21 Apr 2021
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition J. Komorowski Monika Wysoczanska Tomasz Trzciñski 16 55 0 12 Apr 2021
Context-self contrastive pretraining for crop type semantic segmentation Michail Tarasiou R. Güler S. Zafeiriou SSL 18 17 0 09 Apr 2021
Multimodal Fusion Refiner Networks Sethuraman Sankaran David Yang Ser-Nam Lim OffRL 21 8 0 08 Apr 2021
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis Pranav Maneriker Yuntian He Srinivas Parthasarathy 21 9 0 01 Apr 2021
Learning with Memory-based Virtual Classes for Deep Metric Learning ByungSoo Ko Geonmo Gu Han-Gyu Kim VLM 11 28 0 31 Mar 2021
Noise-resistant Deep Metric Learning with Ranking-based Instance Selection Chang-rui Liu Han Yu Boyang Albert Li Zhiqi Shen Zhanning Gao Peiran Ren Xuansong Xie Li-zhen Cui C. Miao NoLa 22 38 0 30 Mar 2021
Domain-robust VQA with diverse datasets and methods but no target labels Mingda Zhang Tristan D. Maidment Ahmad Diab Adriana Kovashka R. Hwa OOD 11 22 0 29 Mar 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 20 38 0 29 Mar 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 13 36 0 29 Mar 2021
USB: Universal-Scale Object Detection Benchmark Yosuke Shinya ObjD 6 13 0 25 Mar 2021
Rethinking Deep Contrastive Learning with Embedding Memory Haozhi Zhang Xun Wang Weilin Huang Matthew R. Scott 11 3 0 25 Mar 2021
Hierarchical Proxy-based Loss for Deep Metric Learning Zhibo Yang M. Bastan Xinliang Zhu Douglas Gray Dimitris Samaras 8 27 0 25 Mar 2021
Using Molecular Embeddings in QSAR Modeling: Does it Make a Difference? María Virginia Sabando I. Ponzoni E. Milios Axel J. Soto 20 25 0 20 Mar 2021
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning Zhigang Dai Bolun Cai Yugeng Lin Junying Chen SSL 17 6 0 19 Mar 2021
Improving Image co-segmentation via Deep Metric Learning Zhengwen Li Xiabi Liu VLM 11 1 0 19 Mar 2021
On Semantic Similarity in Video Retrieval Michael Wray Hazel Doughty Dima Damen 21 66 0 18 Mar 2021
Triplet-Watershed for Hyperspectral Image Classification Aditya Challa Sravan Danda B. Sagar Laurent Najman 10 5 0 17 Mar 2021
Accounting for Variance in Machine Learning Benchmarks Xavier Bouthillier Pierre Delaunay Mirko Bronzi Assya Trofimov Brennan Nichyporuk ... Dmitriy Serdyuk Tal Arbel C. Pal Gaël Varoquaux Pascal Vincent 18 148 0 01 Mar 2021
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives Nils Rethmeier Isabelle Augenstein SSL VLM 85 90 0 25 Feb 2021
Learning Intra-Batch Connections for Deep Metric Learning Jenny Seidenschwarz Ismail Elezi Laura Leal-Taixé FedML 11 51 0 15 Feb 2021
Exploring Adversarial Robustness of Deep Metric Learning Thomas Kobber Panum Z. Wang Pengyu Kan Earlence Fernandes S. Jha AAML 9 7 0 14 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,689 0 11 Feb 2021
Training Vision Transformers for Image Retrieval Alaaeldin El-Nouby Natalia Neverova Ivan Laptev Hervé Jégou ViT 11 156 0 10 Feb 2021