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Local Similarity-Aware Deep Feature Embedding

Local Similarity-Aware Deep Feature Embedding

27 October 2016
Chen Huang
Chen Change Loy
Xiaoou Tang
ArXivPDFHTML

Papers citing "Local Similarity-Aware Deep Feature Embedding"

28 / 28 papers shown
Title
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural
  Networks
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Jiarong Xu
Renhong Huang
Xin Jiang
Yuxuan Cao
Carl Yang
Chunping Wang
Yang Yang
AI4CE
44
14
0
02 Nov 2023
Cascading Hierarchical Networks with Multi-task Balanced Loss for
  Fine-grained hashing
Cascading Hierarchical Networks with Multi-task Balanced Loss for Fine-grained hashing
Xianxian Zeng
Yanjun Zheng
30
2
0
20 Mar 2023
Attributable Visual Similarity Learning
Attributable Visual Similarity Learning
Borui Zhang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
22
17
0
28 Mar 2022
BITES: Balanced Individual Treatment Effect for Survival data
BITES: Balanced Individual Treatment Effect for Survival data
Stefan Schrod
Andreas Schäfer
S. Solbrig
R. Lohmayer
W. Gronwald
P. Oefner
T. Beissbarth
Rainer Spang
H. Zacharias
Michael Altenbuchinger
CML
17
23
0
05 Jan 2022
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Yuanhan Mo
Shuo Wang
Chengliang Dai
Rui Zhou
Z. Teng
Wenjia Bai
Yike Guo
29
0
0
19 Mar 2020
Informative Sample Mining Network for Multi-Domain Image-to-Image
  Translation
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation
Jie Cao
Huaibo Huang
Yi Li
Ran He
Zhenan Sun
18
7
0
05 Jan 2020
Deep Metric Learning using Similarities from Nonlinear Rank
  Approximations
Deep Metric Learning using Similarities from Nonlinear Rank Approximations
Konstantin Schall
Kai Uwe Barthel
Nico Hezel
Klaus Jung
DML
23
3
0
20 Sep 2019
Deep Metric Learning with Density Adaptivity
Deep Metric Learning with Density Adaptivity
Yehao Li
Ting Yao
Yingwei Pan
Hongyang Chao
Tao Mei
30
11
0
09 Sep 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A Review
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
30
458
0
31 Aug 2019
Divide and Conquer the Embedding Space for Metric Learning
Divide and Conquer the Embedding Space for Metric Learning
A. Sanakoyeu
Vadim Tschernezki
U. Büchler
Bjorn Ommer
SSL
32
107
0
14 Jun 2019
Deep Metric Learning Beyond Binary Supervision
Deep Metric Learning Beyond Binary Supervision
Sungyeon Kim
Minkyo Seo
Ivan Laptev
Minsu Cho
Suha Kwak
SSL
20
94
0
21 Apr 2019
Hardness-Aware Deep Metric Learning
Hardness-Aware Deep Metric Learning
Wenzhao Zheng
Zhaodong Chen
Jiwen Lu
Jie Zhou
23
171
0
13 Mar 2019
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems
Ahmed Taha
Yi-Ting Chen
Teruhisa Misu
Abhinav Shrivastava
L. Davis
19
17
0
07 Feb 2019
Boosting Standard Classification Architectures Through a Ranking
  Regularizer
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
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems
Ahmed Taha
Yi-Ting Chen
Xitong Yang
Teruhisa Misu
L. Davis
UQCV
28
9
0
23 Jan 2019
Energy Confused Adversarial Metric Learning for Zero-Shot Image
  Retrieval and Clustering
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
Binghui Chen
Weihong Deng
31
29
0
22 Jan 2019
Batch DropBlock Network for Person Re-identification and Beyond
Batch DropBlock Network for Person Re-identification and Beyond
Zuozhuo Dai
Mingqiang Chen
Xiaodong Gu
Siyu Zhu
Ping Tan
OOD
13
246
0
17 Nov 2018
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Xiangyu Zhu
Hao Liu
Zhen Lei
Hailin Shi
Fan Yang
Dong Yi
Guojun Qi
Stan Z. Li
CVBM
32
47
0
08 Jun 2018
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating
Binghui Chen
Weihong Deng
24
7
0
04 Jun 2018
Deep Imbalanced Learning for Face Recognition and Attribute Prediction
Deep Imbalanced Learning for Face Recognition and Attribute Prediction
Chen Huang
Yining Li
Chen Change Loy
Xiaoou Tang
CVBM
14
309
0
01 Jun 2018
Sharp Attention Network via Adaptive Sampling for Person
  Re-identification
Sharp Attention Network via Adaptive Sampling for Person Re-identification
Chen Shen
Guo-Jun Qi
Rongxin Jiang
Zhongming Jin
Hongwei Yong
Yao-wu Chen
Xiansheng Hua
27
38
0
07 May 2018
Attention-based Ensemble for Deep Metric Learning
Attention-based Ensemble for Deep Metric Learning
Wonsik Kim
Bhavya Goyal
Kunal Chawla
Jungmin Lee
Keunjoo Kwon
FedML
30
226
0
02 Apr 2018
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
Xinyu Wang
Yufei Ye
Abhinav Gupta
20
585
0
21 Mar 2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
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
Sampling Matters in Deep Embedding Learning
Sampling Matters in Deep Embedding Learning
Chaoxia Wu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
52
920
0
23 Jun 2017
NormFace: L2 Hypersphere Embedding for Face Verification
NormFace: L2 Hypersphere Embedding for Face Verification
Feng Wang
Xiang Xiang
Jian Cheng
Alan Yuille
3DH
CVBM
24
739
0
21 Apr 2017
Hard-Aware Deeply Cascaded Embedding
Hard-Aware Deeply Cascaded Embedding
Yuhui Yuan
Kuiyuan Yang
Chao Zhang
44
300
0
17 Nov 2016
Learning a Deep Embedding Model for Zero-Shot Learning
Learning a Deep Embedding Model for Zero-Shot Learning
Li Zhang
Tao Xiang
S. Gong
SyDa
VLM
73
700
0
15 Nov 2016
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