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CNN-RNN: A Unified Framework for Multi-label Image Classification

CNN-RNN: A Unified Framework for Multi-label Image Classification

15 April 2016
Jiang Wang
Yi Yang
Junhua Mao
Zhiheng Huang
Chang Huang
Wenyuan Xu
    SSL
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Papers citing "CNN-RNN: A Unified Framework for Multi-label Image Classification"

50 / 102 papers shown
Title
The Emerging Trends of Multi-Label Learning
The Emerging Trends of Multi-Label Learning
Weiwei Liu
Haobo Wang
Xiaobo Shen
Ivor W. Tsang
38
252
0
23 Nov 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy
  Label Correction via Visual-Semantic Graph
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph
Jingkang Yang
Weirong Chen
Xue Jiang
Xiaopeng Yan
Huabin Zheng
Wayne Zhang
NoLa
25
13
0
12 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
30
225
0
30 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
15
153
0
20 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
24
101
0
08 Sep 2020
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of
  Autism Spectrum Disorder: A Review
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
Marjane Khodatars
A. Shoeibi
Delaram Sadeghi
Navid Ghaasemi
M. Jafari
...
Abbas Khosravi
S. Nahavandi
Sadiq Hussain
U. Acharya
M. Berk
28
202
0
02 Jul 2020
WasteNet: Waste Classification at the Edge for Smart Bins
WasteNet: Waste Classification at the Edge for Smart Bins
Gary White
Christian Cabrera
Andrei Palade
Fan Li
Siobhán Clarke
HAI
21
35
0
10 Jun 2020
Quda: Natural Language Queries for Visual Data Analytics
Quda: Natural Language Queries for Visual Data Analytics
Siwei Fu
Kai Xiong
Xiaodong Ge
Siliang Tang
Wei Chen
Yingcai Wu
14
26
0
07 May 2020
Disassembling Object Representations without Labels
Disassembling Object Representations without Labels
Zunlei Feng
Xinchao Wang
Yongming He
Yike Yuan
Xin Gao
Xiuming Zhang
OCL
18
0
0
03 Apr 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
Jingwen Ye
Yixin Ji
Xinchao Wang
Xin Gao
Xiuming Zhang
29
53
0
20 Mar 2020
Learn to Predict Sets Using Feed-Forward Neural Networks
Learn to Predict Sets Using Feed-Forward Neural Networks
H. Rezatofighi
Tianyu Zhu
Roman Kaskman
F. Motlagh
Javen Qinfeng Shi
Anton Milan
Daniel Cremers
Laura Leal-Taixé
Ian Reid
SSL
61
15
0
30 Jan 2020
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal
  Multitask Learning
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning
Huaizheng Zhang
Yong Luo
Qiming Ai
Yonggang Wen
17
15
0
21 Dec 2019
Scaling Out-of-Distribution Detection for Real-World Settings
Scaling Out-of-Distribution Detection for Real-World Settings
Dan Hendrycks
Steven Basart
Mantas Mazeika
Andy Zou
Joe Kwon
Mohammadreza Mostajabi
Jacob Steinhardt
D. Song
OODD
15
455
0
25 Nov 2019
Learning Category Correlations for Multi-label Image Recognition with
  Graph Networks
Learning Category Correlations for Multi-label Image Recognition with Graph Networks
Qing Li
Xiaojiang Peng
Yu Qiao
Qiang Peng
34
22
0
28 Sep 2019
SECRET: Semantically Enhanced Classification of Real-world Tasks
SECRET: Semantically Enhanced Classification of Real-world Tasks
Ayten Ozge Akmandor
Jorge Ortiz
Irene Manotas
Bongjun Ko
N. Jha
19
2
0
29 May 2019
Kernel Mean Matching for Content Addressability of GANs
Kernel Mean Matching for Content Addressability of GANs
Wittawat Jitkrittum
Patsorn Sangkloy
Muhammad Waleed Gondal
Amit Raj
James Hays
Bernhard Schölkopf
GAN
BDL
24
9
0
14 May 2019
Multi-Label Image Recognition with Graph Convolutional Networks
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen
Xiu-Shen Wei
Peng Wang
Yanwen Guo
16
990
0
07 Apr 2019
Pedestrian Attribute Recognition: A Survey
Pedestrian Attribute Recognition: A Survey
Tianlin Li
Shaofei Zheng
Rui Yang
Aihua Zheng
Zhe Chen
Jin Tang
B. Luo
CVBM
28
127
0
22 Jan 2019
Inverse Cooking: Recipe Generation from Food Images
Inverse Cooking: Recipe Generation from Food Images
Amaia Salvador
M. Drozdzal
Xavier Giró-i-Nieto
Adriana Romero
23
147
0
14 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
6
10
0
20 Nov 2018
Multi-label Object Attribute Classification using a Convolutional Neural
  Network
Multi-label Object Attribute Classification using a Convolutional Neural Network
Soubarna Banik
M. Lauri
Simone Frintrop
12
11
0
10 Nov 2018
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Irwan Bello
Sayali Kulkarni
Sagar Jain
Craig Boutilier
Ed H. Chi
Elad Eban
Xiyang Luo
Alan Mackey
Ofer Meshi
25
91
0
04 Oct 2018
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine
  Learning Tasks
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks
Nikola B. Kovachki
Andrew M. Stuart
BDL
42
136
0
10 Aug 2018
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding
  Projection
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection
Meng Ye
Yuhong Guo
19
8
0
07 Aug 2018
Fake News Identification on Twitter with Hybrid CNN and RNN Models
Fake News Identification on Twitter with Hybrid CNN and RNN Models
Oluwaseun Ajao
Deepayan Bhowmik
S. Zargari
12
276
0
29 Jun 2018
A Unified Model with Structured Output for Fashion Images Classification
A Unified Model with Structured Output for Fashion Images Classification
Beatriz Quintino Ferreira
Luís Baía
João Faria
R. Sousa
23
17
0
25 Jun 2018
Adversarial Scene Editing: Automatic Object Removal from Weak
  Supervision
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision
Rakshith Shetty
Mario Fritz
Bernt Schiele
OCL
GAN
11
93
0
05 Jun 2018
Identifying Object States in Cooking-Related Images
Identifying Object States in Cooking-Related Images
Ahmad Babaeian Jelodar
Md Sirajus Salekin
Yu Sun
17
37
0
17 May 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in
  Federated Learning
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
Tribhuvanesh Orekondy
Seong Joon Oh
Yang Zhang
Bernt Schiele
Mario Fritz
PICV
FedML
354
37
0
15 May 2018
Attentional Multilabel Learning over Graphs: A Message Passing Approach
Attentional Multilabel Learning over Graphs: A Message Passing Approach
Kien Do
T. Tran
Thin Nguyen
Svetha Venkatesh
21
17
0
01 Apr 2018
Tagging like Humans: Diverse and Distinct Image Annotation
Tagging like Humans: Diverse and Distinct Image Annotation
Baoyuan Wu
Weidong Chen
Peng Sun
Wei Liu
Guohao Li
Siwei Lyu
VLM
26
47
0
31 Mar 2018
Multi-Evidence Filtering and Fusion for Multi-Label Classification,
  Object Detection and Semantic Segmentation Based on Weakly Supervised
  Learning
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
Weifeng Ge
Sibei Yang
Yizhou Yu
29
189
0
26 Feb 2018
Long-term Multi-granularity Deep Framework for Driver Drowsiness
  Detection
Long-term Multi-granularity Deep Framework for Driver Drowsiness Detection
Jie Lyu
Zejian Yuan
Dapeng Chen
CVBM
20
34
0
08 Jan 2018
Attacking Visual Language Grounding with Adversarial Examples: A Case
  Study on Neural Image Captioning
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning
Hongge Chen
Huan Zhang
Pin-Yu Chen
Jinfeng Yi
Cho-Jui Hsieh
GAN
AAML
32
49
0
06 Dec 2017
Deep-Person: Learning Discriminative Deep Features for Person
  Re-Identification
Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
X. Bai
Mingkun Yang
Tengteng Huang
Zhiyong Dou
Rui Yu
Yongchao Xu
32
246
0
29 Nov 2017
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Chung-Wei Lee
Wei Fang
Chih-Kuan Yeh
Y. Wang
VLM
37
280
0
17 Nov 2017
Multi-label Image Recognition by Recurrently Discovering Attentional
  Regions
Multi-label Image Recognition by Recurrently Discovering Attentional Regions
Zhouxia Wang
Tianshui Chen
Guanbin Li
Ruijia Xu
Liang Lin
21
289
0
08 Nov 2017
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
22
332
0
28 Oct 2017
Multi-Label Zero-Shot Human Action Recognition via Joint Latent Ranking
  Embedding
Multi-Label Zero-Shot Human Action Recognition via Joint Latent Ranking Embedding
Qian Wang
Ke Chen
BDL
30
7
0
15 Sep 2017
Joint Learning of Set Cardinality and State Distribution
Joint Learning of Set Cardinality and State Distribution
S. Hamid Rezatofighi
Anton Milan
Javen Qinfeng Shi
A. Dick
Ian Reid
SSL
BDL
27
16
0
13 Sep 2017
Order-Free RNN with Visual Attention for Multi-Label Classification
Order-Free RNN with Visual Attention for Multi-Label Classification
Shang-Fu Chen
Yi-Chen Chen
Chih-Kuan Yeh
Y. Wang
22
142
0
18 Jul 2017
Learning Spatial Regularization with Image-level Supervisions for
  Multi-label Image Classification
Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification
Feng Zhu
Hongsheng Li
Wanli Ouyang
Nenghai Yu
Xiaogang Wang
21
337
0
20 Feb 2017
A scikit-based Python environment for performing multi-label
  classification
A scikit-based Python environment for performing multi-label classification
Piotr Szymañski
Tomasz Kajdanowicz
GP
15
144
0
05 Feb 2017
Segmentation-free Vehicle License Plate Recognition using ConvNet-RNN
Segmentation-free Vehicle License Plate Recognition using ConvNet-RNN
Teik Koon Cheang
Yong Shean Chong
Yong Haur Tay
16
56
0
23 Jan 2017
Hierarchical Partitioning of the Output Space in Multi-label Data
Hierarchical Partitioning of the Output Space in Multi-label Data
Yannis Papanikolaou
I. Katakis
Grigorios Tsoumakas
18
19
0
19 Dec 2016
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and
  Multilabel Classification
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification
Maksim Lapin
Matthias Hein
Bernt Schiele
34
99
0
12 Dec 2016
DeepSetNet: Predicting Sets with Deep Neural Networks
DeepSetNet: Predicting Sets with Deep Neural Networks
S. Hamid Rezatofighi
B. V. Kumar
Anton Milan
Ehsan Abbasnejad
A. Dick
Ian Reid
BDL
34
51
0
28 Nov 2016
Semantic Regularisation for Recurrent Image Annotation
Semantic Regularisation for Recurrent Image Annotation
Feng Liu
Tao Xiang
Timothy M. Hospedales
Wankou Yang
Changyin Sun
29
103
0
16 Nov 2016
Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length
  Image Tagging
Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length Image Tagging
Jiren Jin
Hideki Nakayama
3DV
VLM
19
69
0
18 Apr 2016
Image Captioning and Visual Question Answering Based on Attributes and
  External Knowledge
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
Qi Wu
Chunhua Shen
Anton Van Den Hengel
Peng Wang
A. Dick
21
360
0
09 Mar 2016
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