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Improving Pairwise Ranking for Multi-label Image Classification

Improving Pairwise Ranking for Multi-label Image Classification

11 April 2017
Y. Li
Yale Song
Jiebo Luo
ArXivPDFHTML

Papers citing "Improving Pairwise Ranking for Multi-label Image Classification"

32 / 32 papers shown
Title
Don't Forget to Connect! Improving RAG with Graph-based Reranking
Don't Forget to Connect! Improving RAG with Graph-based Reranking
Jialin Dong
Bahare Fatemi
Bryan Perozzi
Lin F. Yang
Anton Tsitsulin
63
25
0
28 May 2024
Deep Learning for Multi-Label Learning: A Comprehensive Survey
Deep Learning for Multi-Label Learning: A Comprehensive Survey
A. Tarekegn
M. Ullah
F. A. Cheikh
AI4TS
40
8
0
29 Jan 2024
AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codes
Zhaohui Li
Haitao Wang
Xinghua Jiang
40
1
0
14 Aug 2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped
  Convolution
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution
Z. Su
Jiehua Zhang
Tianpeng Liu
Zhen Liu
Shuanghui Zhang
M. Pietikäinen
Li Liu
32
2
0
13 Apr 2023
GaussianMLR: Learning Implicit Class Significance via Calibrated
  Multi-Label Ranking
GaussianMLR: Learning Implicit Class Significance via Calibrated Multi-Label Ranking
V. B. Yesilkaynak
Emine Dari
Alican Mertan
Gözde B. Ünal
27
0
0
07 Mar 2023
Complementary to Multiple Labels: A Correlation-Aware Correction
  Approach
Complementary to Multiple Labels: A Correlation-Aware Correction Approach
Yi Gao
Miao Xu
Min-Ling Zhang
19
0
0
25 Feb 2023
A survey and taxonomy of loss functions in machine learning
A survey and taxonomy of loss functions in machine learning
Lorenzo Ciampiconi
A. Elwood
Marco Leonardi
A. Mohamed
A. Rozza
MU
FaML
11
27
0
13 Jan 2023
Multi-Label Continual Learning using Augmented Graph Convolutional
  Network
Multi-Label Continual Learning using Augmented Graph Convolutional Network
Kaile Du
Fan Lyu
Linyan Li
Fuyuan Hu
Wei Feng
Fenglei Xu
Xuefeng Xi
Hanjing Cheng
CLL
38
13
0
27 Nov 2022
Rank-based Decomposable Losses in Machine Learning: A Survey
Rank-based Decomposable Losses in Machine Learning: A Survey
Shu Hu
Xin Wang
Siwei Lyu
40
32
0
18 Jul 2022
Siamese Object Tracking for Unmanned Aerial Vehicle: A Review and
  Comprehensive Analysis
Siamese Object Tracking for Unmanned Aerial Vehicle: A Review and Comprehensive Analysis
Changhong Fu
Kunhan Lu
Guang-Zheng Zheng
Junjie Ye
Ziang Cao
Bowen Li
Geng Lu
29
55
0
09 May 2022
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for
  Multi-category Attributes Prediction
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction
Kareem M. Metwaly
Aerin Kim
E. Branson
V. Monga
43
7
0
07 Mar 2022
Visual Transformers with Primal Object Queries for Multi-Label Image
  Classification
Visual Transformers with Primal Object Queries for Multi-Label Image Classification
V. O. Yazici
Joost van de Weijer
Longlong Yu
ViT
21
1
0
10 Dec 2021
Meta-Learning for Multi-Label Few-Shot Classification
Meta-Learning for Multi-Label Few-Shot Classification
Christian Simon
Piotr Koniusz
Mehrtash Harandi
18
25
0
26 Oct 2021
Rethinking Crowdsourcing Annotation: Partial Annotation with Salient
  Labels for Multi-Label Image Classification
Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification
Jianzhe Lin
Tianze Yu
Z. J. Wang
24
10
0
06 Sep 2021
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel
  Classification
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification
Gabriel Bénédict
Vincent Koops
Daan Odijk
Maarten de Rijke
40
30
0
24 Aug 2021
Learning to Predict Visual Attributes in the Wild
Learning to Predict Visual Attributes in the Wild
Khoi Pham
Kushal Kafle
Zhe-nan Lin
Zhi Ding
Scott D. Cohen
Q. Tran
Abhinav Shrivastava
18
108
0
17 Jun 2021
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and
  Benchmark
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark
Joakim Bruslund Haurum
T. Moeslund
20
60
0
19 Mar 2021
A Comparative Study of Deep Learning Loss Functions for Multi-Label
  Remote Sensing Image Classification
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification
Hichame Yessou
Gencer Sumbul
Begüm Demir
19
31
0
29 Sep 2020
Knowledge-Guided Multi-Label Few-Shot Learning for General Image
  Recognition
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition
Tianshui Chen
Liang Lin
Riquan Chen
X. Hui
Hefeng Wu
21
153
0
20 Sep 2020
Learning Semantic-Specific Graph Representation for Multi-Label Image
  Recognition
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
Tianshui Chen
Muxi Xu
X. Hui
Hefeng Wu
Liang Lin
24
287
0
20 Aug 2019
Deep Multi Label Classification in Affine Subspaces
Deep Multi Label Classification in Affine Subspaces
T. Kurmann
Pablo Márquez-Neila
Sebastian Wolf
Raphael Sznitman
13
5
0
10 Jul 2019
DiCENet: Dimension-wise Convolutions for Efficient Networks
DiCENet: Dimension-wise Convolutions for Efficient Networks
Sachin Mehta
Hannaneh Hajishirzi
Mohammad Rastegari
36
43
0
08 Jun 2019
TVQA+: Spatio-Temporal Grounding for Video Question Answering
TVQA+: Spatio-Temporal Grounding for Video Question Answering
Jie Lei
Licheng Yu
Tamara L. Berg
Joey Tianyi Zhou
31
227
0
25 Apr 2019
Holistic and Comprehensive Annotation of Clinically Significant Findings
  on Diverse CT Images: Learning from Radiology Reports and Label Ontology
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology
Ke Yan
Yifan Peng
V. Sandfort
M. Bagheri
Zhiyong Lu
Ronald M. Summers
MedIm
27
68
0
09 Apr 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
ELASTIC: Improving CNNs with Dynamic Scaling Policies
ELASTIC: Improving CNNs with Dynamic Scaling Policies
Huiyu Wang
Aniruddha Kembhavi
Ali Farhadi
Alan Yuille
Mohammad Rastegari
122
57
0
13 Dec 2018
A Baseline for Multi-Label Image Classification Using An Ensemble of
  Deep Convolutional Neural Networks
A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural Networks
Qian Wang
Ning Jia
T. Breckon
UQCV
14
10
0
20 Nov 2018
ML-Net: multi-label classification of biomedical texts with deep neural
  networks
ML-Net: multi-label classification of biomedical texts with deep neural networks
Jingcheng Du
Qingyu Chen
Yifan Peng
Yang Xiang
Cui Tao
Zhiyong Lu
12
137
0
13 Nov 2018
Tagging like Humans: Diverse and Distinct Image Annotation
Tagging like Humans: Diverse and Distinct Image Annotation
Baoyuan Wu
Weidong Chen
Peng Sun
Wen Liu
Guohao Li
Siwei Lyu
VLM
36
47
0
31 Mar 2018
Learning to diagnose from scratch by exploiting dependencies among
  labels
Learning to diagnose from scratch by exploiting dependencies among labels
L. Yao
Eric Poblenz
Dmitry Dagunts
Ben Covington
D. Bernard
Kevin Lyman
30
332
0
28 Oct 2017
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