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WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection

https://doi.org/10.1109/tmm.2019.2939744
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Self-produced Guidance for Weakly-Supervised Object Localization
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Visualizing and Understanding Convolutional Networks
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International Encyclopedia of Statistical Science
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Kullback-Leibler Divergence
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Color indexing
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Detection of Co-salient Objects by Looking Deep and Wide
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Survey of visual sentiment prediction for social media analysis
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How emotion is made and measured
inferredcites →https://doi.org/10.1016/j.imavis.2017.01.011openalex-snapshot
From pixels to sentiment: Fine-tuning CNNs for visual sentiment prediction
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Multi-level region-based Convolutional Neural Network for image emotion classification
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How brains beware: neural mechanisms of emotional attention
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Predicting visual fixations on video based on low-level visual features
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The Earth Mover's Distance as a Metric for Image Retrieval
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inferredcites →https://doi.org/10.1080/02699930902975754openalex-snapshot
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A model of saliency-based visual attention for rapid scene analysis
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ImageNet: A large-scale hierarchical image database
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Multi-fold MIL Training for Weakly Supervised Object Localization
inferredcites →https://doi.org/10.1109/cvpr.2015.7298668openalex-snapshot
Is object localization for free? - Weakly-supervised learning with convolutional neural networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298685openalex-snapshot
The application of two-level attention models in deep convolutional neural network for fine-grained image classification
inferredcites →https://doi.org/10.1109/cvpr.2015.7298687openalex-snapshot
A mixed bag of emotions: Model, predict, and transfer emotion distributions
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Deep multiple instance learning for image classification and auto-annotation
inferredcites →https://doi.org/10.1109/cvpr.2016.319openalex-snapshot
Learning Deep Features for Discriminative Localization
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.212openalex-snapshot
Emotion Recognition in Context
inferredcites →https://doi.org/10.1109/cvpr.2017.545openalex-snapshot
Weakly Supervised Cascaded Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.59openalex-snapshot
Viraliency: Pooling Local Virality
inferredcites →https://doi.org/10.1109/cvpr.2017.631openalex-snapshot
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.687openalex-snapshot
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
inferredcites →https://doi.org/10.1109/cvpr.2018.00144openalex-snapshot
Adversarial Complementary Learning for Weakly Supervised Object Localization
inferredcites →https://doi.org/10.1109/cvpr.2018.00759openalex-snapshot
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2018.00785openalex-snapshot
Emotional Attention: A Study of Image Sentiment and Visual Attention
inferredcites →https://doi.org/10.1109/cvpr.2018.00791openalex-snapshot
Weakly Supervised Coupled Networks for Visual Sentiment Analysis
inferredcites →https://doi.org/10.1109/icassp.2016.7472195openalex-snapshot
Image sentiment analysis using latent correlations among visual, textual, and sentiment views
inferredcites →https://doi.org/10.1109/iccv.2015.38openalex-snapshot
SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks
inferredcites →https://doi.org/10.1109/iccv.2017.204openalex-snapshot
Soft Proposal Networks for Weakly Supervised Object Localization
inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1109/iccv.2019.00123openalex-snapshot
Attention-Aware Polarity Sensitive Embedding for Affective Image Retrieval
inferredcites →https://doi.org/10.1109/iccv.2019.00124openalex-snapshot
Zero-Shot Emotion Recognition via Affective Structural Embedding
inferredcites →https://doi.org/10.1109/icip.2008.4711701openalex-snapshot
Emotional valence categorization using holistic image features
inferredcites →https://doi.org/10.1109/icip.2016.7532430openalex-snapshot
Where do emotions come from? Predicting the Emotion Stimuli Map
inferredcites →https://doi.org/10.1109/icip.2016.7532433openalex-snapshot
Modeling temporal information using discrete fourier transform for recognizing emotions in user-generated videos
inferredcites →https://doi.org/10.1109/icip.2017.8296496openalex-snapshot
Reducing noisy labels in weakly labeled data for visual sentiment analysis
inferredcites →https://doi.org/10.1109/icme.2016.7552961openalex-snapshot
Discovering affective regions in deep convolutional neural networks for visual sentiment prediction
inferredcites →https://doi.org/10.1109/icsmc.2006.384667openalex-snapshot
Image Retrieval by Emotional Semantics: A Study of Emotional Space and Feature Extraction
inferredcites →https://doi.org/10.1109/msp.2011.941851openalex-snapshot
Aesthetics and Emotions in Images
inferredcites →https://doi.org/10.1109/taffc.2014.2388370openalex-snapshot
Assistive Image Comment Robot—A Novel Mid-Level Concept-Based Representation
inferredcites →https://doi.org/10.1109/taffc.2016.2628787openalex-snapshot
Predicting Personalized Image Emotion Perceptions in Social Networks
inferredcites →https://doi.org/10.1109/tcyb.2018.2813971openalex-snapshot
Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition
inferredcites →https://doi.org/10.1109/tgrs.2016.2601622openalex-snapshot
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
inferredcites →https://doi.org/10.1109/tmm.2016.2617741openalex-snapshot
Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression
inferredcites →https://doi.org/10.1109/tmm.2018.2803520openalex-snapshot
Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions
inferredcites →https://doi.org/10.1109/tpami.2012.28openalex-snapshot
Measuring the Objectness of Image Windows
inferredcites →https://doi.org/10.1109/tpami.2015.2456908openalex-snapshot
Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting
inferredcites →https://doi.org/10.1109/tpami.2016.2535231openalex-snapshot
Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning
inferredcites →https://doi.org/10.1109/tpami.2016.2567393openalex-snapshot
Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2018.2815601openalex-snapshot
What Do Different Evaluation Metrics Tell Us About Saliency Models?
inferredcites →https://doi.org/10.1145/1873951.1873965openalex-snapshot
Affective image classification using features inspired by psychology and art theory
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.1145/2393347.2396296openalex-snapshot
Context-aware affective images classification based on bilayer sparse representation
inferredcites →https://doi.org/10.1145/2502069.2502079openalex-snapshot
Sentribute
inferredcites →https://doi.org/10.1145/2502081.2502282openalex-snapshot
Large-scale visual sentiment ontology and detectors using adjective noun pairs
inferredcites →https://doi.org/10.1145/2647868.2654930openalex-snapshot
Exploring Principles-of-Art Features For Image Emotion Recognition
inferredcites →https://doi.org/10.1145/2733373.2806250openalex-snapshot
Who's Afraid of Itten
inferredcites →https://doi.org/10.1145/2733373.2806273openalex-snapshot
Predicting and Understanding Urban Perception with Convolutional Neural Networks
inferredcites →https://doi.org/10.1145/2813524.2813530openalex-snapshot
Diving Deep into Sentiment
inferredcites →https://doi.org/10.1145/2964284.2964289openalex-snapshot
Predicting Personalized Emotion Perceptions of Social Images
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3078971.3079030openalex-snapshot
Frame-Transformer Emotion Classification Network
inferredcites →https://doi.org/10.1145/3123266.3123374openalex-snapshot
Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN
inferredcites →https://doi.org/10.1145/3123266.3123445openalex-snapshot
The Role of Visual Attention in Sentiment Prediction
inferredcites →https://doi.org/10.1145/3326335openalex-snapshot
Learning Discriminative Sentiment Representation from Strongly- and Weakly Supervised CNNs
inferredcites →https://doi.org/10.1177/1534582303002002003openalex-snapshot
The Interface Between Emotion and Attention: A Review of Evidence From Psychology and Neuroscience
inferredcites →https://doi.org/10.1561/9781601981516openalex-snapshot
Opinion Mining and Sentiment Analysis
inferredcites →https://doi.org/10.1609/aaai.v29i1.9179openalex-snapshot
Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks
inferredcites →https://doi.org/10.1609/aaai.v30i1.9987openalex-snapshot
Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark
inferredcites →https://doi.org/10.1609/aaai.v31i1.10501openalex-snapshot
Visual Sentiment Analysis by Attending on Local Image Regions
inferredcites →https://doi.org/10.1609/aaai.v32i1.11275openalex-snapshot
Retrieving and Classifying Affective Images via Deep Metric Learning
inferredcites →https://doi.org/10.24963/ijcai.2017/456openalex-snapshot
Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network
inferredcites →https://doi.org/10.24963/ijcai.2017/503openalex-snapshot
Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition
inferredcites →https://doi.org/10.24963/ijcai.2017/651openalex-snapshot
Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion
inferredcites →https://doi.org/10.3389/fpsyg.2016.01613openalex-snapshot
Commentary: Neural Control of Vascular Reactions: Impact of Emotion and Attention
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1410.8586openalex-snapshot
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0073openalex-snapshot
Graph-Based Visual Saliency

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Unfolding Handcrafted Features Contribution in Cnns for Valence and Arousal Estimation in Images
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CFN-ESA: A Cross-Modal Fusion Network With Emotion-Shift Awareness for Dialogue Emotion Recognition
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Weakly Supervised Emotion Intensity Prediction for Recognition of Emotions in Images
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APSE: Attention-Aware Polarity-Sensitive Embedding for Emotion-Based Image Retrieval
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2020 Index IEEE Transactions on Multimedia Vol. 22
inferred← citeshttps://doi.org/10.1109/tmm.2021.3058555openalex-snapshot
Emotion Expression With Fact Transfer for Video Description
inferred← citeshttps://doi.org/10.1109/tmm.2021.3073267openalex-snapshot
Multimodal Marketing Intent Analysis for Effective Targeted Advertising
inferred← citeshttps://doi.org/10.1109/tmm.2021.3118208openalex-snapshot
Color Enhanced Cross Correlation Net for Image Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/tmm.2022.3140892openalex-snapshot
Exploiting Low-Rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distributions
inferred← citeshttps://doi.org/10.1109/tmm.2022.3144804openalex-snapshot
Multiscale Emotion Representation Learning for Affective Image Recognition
inferred← citeshttps://doi.org/10.1109/tmm.2022.3160060openalex-snapshot
Multimodal Sentiment Analysis With Image-Text Interaction Network
inferred← citeshttps://doi.org/10.1109/tmm.2022.3176546openalex-snapshot
Few-Shot Segmentation for Prohibited Items Inspection With Patch-Based Self-Supervised Learning and Prototype Reverse Validation
inferred← citeshttps://doi.org/10.1109/tmm.2022.3184486openalex-snapshot
Dual-Gradients Localization Framework With Skip-Layer Connections for Weakly Supervised Object Localization
inferred← citeshttps://doi.org/10.1109/tmm.2022.3214989openalex-snapshot
Multimodal Emotion Classification With Multi-Level Semantic Reasoning Network
inferred← citeshttps://doi.org/10.1109/tmm.2023.3289762openalex-snapshot
CGLF-Net: Image Emotion Recognition Network by Combining Global Self-Attention Features and Local Multiscale Features
inferred← citeshttps://doi.org/10.1109/tmm.2023.3344358openalex-snapshot
Dominant SIngle-Modal SUpplementary Fusion (SIMSUF) for Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/tmm.2024.3521828openalex-snapshot
Token Masking Transformer for Weakly Supervised Object Localization
inferred← citeshttps://doi.org/10.1145/3394171.3413776openalex-snapshot
Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal Space
inferred← citeshttps://doi.org/10.1145/3475867openalex-snapshot
A Language-independent Network to Analyze the Impact of COVID-19 on the World via Sentiment Analysis
inferred← citeshttps://doi.org/10.1145/3517250openalex-snapshot
Do Smart Glasses Dream of Sentimental Visions?
inferred← citeshttps://doi.org/10.1145/3582649.3582678openalex-snapshot
Boosting Image Emotion Analysis via Coupling Dependent Attentive Model
inferred← citeshttps://doi.org/10.1145/3748658openalex-snapshot
Ensuring Pre-Fusion Modality Consistency: A New Approach to Multimodal Sentiment Detection
inferred← citeshttps://doi.org/10.1155/2021/5546338openalex-snapshot
Application of Multitask Joint Sparse Representation Algorithm in Chinese Painting Image Classification
inferred← citeshttps://doi.org/10.1155/2022/2477605openalex-snapshot
Image Sentiment Analysis via Active Sample Refinement and Cluster Correlation Mining
inferred← citeshttps://doi.org/10.1155/2022/5075277openalex-snapshot
Integrating Multiclass Light Weighted BiLSTM Model for Classifying Negative Emotions
inferred← citeshttps://doi.org/10.1155/2022/6975490openalex-snapshot
Visual Emotion Analysis via Affective Semantic Concept Discovery
inferred← citeshttps://doi.org/10.1155/2022/9772714openalex-snapshot
Attention-Based Sentiment Region Importance and Relationship Analysis for Image Sentiment Recognition
inferred← citeshttps://doi.org/10.1587/transinf.2020edp7218openalex-snapshot
Image Emotion Recognition Using Visual and Semantic Features Reflecting Emotional and Similar Objects
inferred← citeshttps://doi.org/10.1587/transinf.2021edp7261openalex-snapshot
BFF R-CNN: Balanced Feature Fusion for Object Detection
inferred← citeshttps://doi.org/10.17762/turcomat.v12i2.1392openalex-snapshot
A Comparative Analysis of Emotion and Sentiment Analysis Method from Twitter Text
inferred← citeshttps://doi.org/10.2139/ssrn.6890916openalex-snapshot
Beyond Emotion Labels: Multimodal AI Approaches to Affective Computing and Sentiment Modeling
inferred← citeshttps://doi.org/10.3233/faia230622openalex-snapshot
DCNet: Weakly Supervised Saliency Guided Dual Coding Network for Visual Sentiment Recognition
inferred← citeshttps://doi.org/10.3233/jifs-200675openalex-snapshot
Visual sentiment analysis via deep multiple clustered instance learning
inferred← citeshttps://doi.org/10.3390/app12031030openalex-snapshot
Visual Sentiment Analysis Using Deep Learning Models with Social Media Data
inferred← citeshttps://doi.org/10.3390/app13020773openalex-snapshot
An Emotion-Based Rating System for Books Using Sentiment Analysis and Machine Learning in the Cloud
inferred← citeshttps://doi.org/10.3390/app142311470openalex-snapshot
MuIm: Analyzing Music–Image Correlations from an Artistic Perspective
inferred← citeshttps://doi.org/10.3390/s24217099openalex-snapshot
ARMNet: A Network for Image Dimensional Emotion Prediction Based on Affective Region Extraction and Multi-Channel Fusion
inferred← citeshttps://doi.org/10.3390/sym13081464openalex-snapshot
TGSL-Dependent Feature Selection for Boosting the Visual Sentiment Classification
inferred← citeshttps://doi.org/10.4018/ijisss.349564openalex-snapshot
Enhancing Multimodal Tourism Review Sentiment Analysis Through Advanced Feature Association Techniques
inferred← citeshttps://doi.org/10.5120/ijca2025925526openalex-snapshot
A Hybrid LSTM-CNN Approach for Multimodal Sentiment Analysis: Combining Text and Image Features
inferred← citeshttps://doi.org/10.9758/cpn.23.1059openalex-snapshot
A Deep Learning Driven Simulation Analysis of the Emotional Profiles of Depression Based on Facial Expression Dynamics
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