Sampling Matters in Deep Embedding Learning

Sampling Matters in Deep Embedding Learning

23 June 2017

Philipp Krahenbuhl

Papers citing "Sampling Matters in Deep Embedding Learning"

18 / 168 papers shown

Title
Boosting Standard Classification Architectures Through a Ranking Regularizer Ahmed Taha Yi-Ting Chen Teruhisa Misu Abhinav Shrivastava L. Davis 12 17 0 24 Jan 2019
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering Binghui Chen Weihong Deng 31 29 0 22 Jan 2019
Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding Ratnesh Kumar Edwin Weill Farzin Aghdasi P. Sriram 35 128 0 04 Jan 2019
Deep Embedding using Bayesian Risk Minimization with Application to Sketch Recognition Anand Mishra A. Singh BDL UQCV 18 4 0 06 Dec 2018
Complete the Look: Scene-based Complementary Product Recommendation Wang-Cheng Kang Eric Kim J. Leskovec Charles R. Rosenberg Julian McAuley 27 76 0 04 Dec 2018
Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling Eric Dodds Huy Nguyen Simão Herdade Jack Culpepper Andrew Kae Pierre Garrigues DML 32 5 0 10 Oct 2018
3D Human Pose Estimation with Siamese Equivariant Embedding M. Véges Viktor Varga András Lőrincz 27 29 0 19 Sep 2018
Improving Generalization via Scalable Neighborhood Component Analysis Zhirong Wu Alexei A. Efros Stella X. Yu BDL 22 144 0 14 Aug 2018
Learning Neural Models for End-to-End Clustering B. Meier Ismail Elezi Mohammadreza Amirian Oliver Durr Thilo Stadelmann SSL 22 16 0 11 Jul 2018
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating Binghui Chen Weihong Deng 21 7 0 04 Jun 2018
Local Descriptors Optimized for Average Precision Kun He Yan Lu Stan Sclaroff 16 193 0 15 Apr 2018
Learning a Text-Video Embedding from Incomplete and Heterogeneous Data Antoine Miech Ivan Laptev Josef Sivic 22 233 0 07 Apr 2018
Attention-based Ensemble for Deep Metric Learning Wonsik Kim Bhavya Goyal Kunal Chawla Jungmin Lee Keunjoo Kwon FedML 30 226 0 02 Apr 2018
Learning Type-Aware Embeddings for Fashion Compatibility Mariya I. Vasileva Bryan A. Plummer Krishna Dusad Shreya Rajpal Ranjitha Kumar David A. Forsyth 36 225 0 25 Mar 2018
Re-ID done right: towards good practices for person re-identification Jon Almazán B. Gajic Naila Murray Diane Larlus 3DPC 30 105 0 16 Jan 2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly M. Opitz Georg Waltner Horst Possegger Horst Bischof FedML OOD 34 166 0 15 Jan 2018
Recurrent Pixel Embedding for Instance Grouping Shu Kong Charless C. Fowlkes 32 180 0 22 Dec 2017
Hashing as Tie-Aware Learning to Rank Kun He Fatih Çakir Sarah Adel Bargal Stan Sclaroff FedML 24 84 0 23 May 2017