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Learning Discriminative Sentiment Representation from Strongly- and Weakly Supervised CNNs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/widm.1253openalex-snapshot
Deep learning for sentiment analysis: A survey
inferredcites →https://doi.org/10.1007/978-3-319-10578-9_23openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_26openalex-snapshot
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
inferredcites →https://doi.org/10.1007/s11042-017-5311-8openalex-snapshot
Identifying emotions in images from valence and arousal ratings
inferredcites →https://doi.org/10.1007/s11063-019-10033-9openalex-snapshot
Learning Multi-level Deep Representations for Image Emotion Classification
inferredcites →https://doi.org/10.1016/j.imavis.2017.01.011openalex-snapshot
From pixels to sentiment: Fine-tuning CNNs for visual sentiment prediction
inferredcites →https://doi.org/10.1016/j.neucom.2016.09.117openalex-snapshot
Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis
inferredcites →https://doi.org/10.1016/j.neucom.2018.02.073openalex-snapshot
Emotion recognition by assisted learning with convolutional neural networks
inferredcites →https://doi.org/10.1016/j.neucom.2018.05.104openalex-snapshot
Boosting image sentiment analysis with visual attention
inferredcites →https://doi.org/10.1023/a:1011139631724openalex-snapshot
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
inferredcites →https://doi.org/10.1037//0022-3514.53.4.712openalex-snapshot
Universals and cultural differences in the judgments of facial expressions of emotion.
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.128openalex-snapshot
Picking Deep Filter Responses for Fine-Grained Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
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.2015.7178151openalex-snapshot
Semi supervised deep kernel design for image annotation
inferredcites →https://doi.org/10.1109/icip.2015.7351365openalex-snapshot
Cross-layer features in convolutional neural networks for generic classification tasks
inferredcites →https://doi.org/10.1109/icip.2017.8296357openalex-snapshot
When saliency meets sentiment: Understanding how image content invokes emotion and sentiment
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.2015.7177449openalex-snapshot
A framework of extracting multi-scale features using multiple convolutional neural networks
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/ijcnn.2005.1556327openalex-snapshot
Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2005
inferredcites →https://doi.org/10.1109/msp.2006.1621452openalex-snapshot
Extracting moods from pictures and sounds: towards truly personalized TV
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/tcyb.2017.2762344openalex-snapshot
Real-Time Multimedia Social Event Detection in Microblog
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.2016.2572683openalex-snapshot
Fully Convolutional Networks for Semantic Segmentation
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/10.1111/j.1540-5931.2007.00465.xopenalex-snapshot
Making Comics: Storytelling Secrets of Comics, Manga and Graphic Novels
inferredcites →https://doi.org/10.1145/1273496.1273594openalex-snapshot
More efficiency in multiple kernel learning
inferredcites →https://doi.org/10.1145/1873951.1873965openalex-snapshot
Affective image classification using features inspired by psychology and art theory
inferredcites →https://doi.org/10.1145/2393347.2396330openalex-snapshot
Can we understand van gogh's mood?
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/10.1145/2647868.2654935openalex-snapshot
Object-Based Visual Sentiment Concept Analysis and Application
inferredcites →https://doi.org/10.1145/2647868.2655035openalex-snapshot
Affective Image Retrieval via Multi-Graph Learning
inferredcites →https://doi.org/10.1145/3123266.3130858openalex-snapshot
Learning Visual Emotion Distributions via Multi-Modal Features Fusion
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/10.24963/ijcai.2018/780openalex-snapshot
Affective Image Content Analysis: A Comprehensive Survey
inferredcites →https://doi.org/10.3758/bf03192732openalex-snapshot
Emotional category data on images from the international affective picture system
inferredcites →https://doi.org/10.48550/arxiv.1410.8586openalex-snapshot
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.5555/1248547.1248604openalex-snapshot
Large Scale Multiple Kernel Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-97-1417-9_28openalex-snapshot
Visual Sentiment Analysis with a VR Sentiment Dataset on Omni-Directional Images
inferred← citeshttps://doi.org/10.1007/s11042-023-16081-7openalex-snapshot
Affective image recognition with multi-attribute knowledge in deep neural networks
inferred← citeshttps://doi.org/10.1007/s40747-023-01296-wopenalex-snapshot
Visual sentiment analysis with semantic correlation enhancement
inferred← citeshttps://doi.org/10.1109/jproc.2023.3309299openalex-snapshot
Toward Label-Efficient Emotion and Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/tcds.2021.3135948openalex-snapshot
Visual Sentiment Classification via Low-Rank Regularization and Label Relaxation
inferred← citeshttps://doi.org/10.1109/tmm.2019.2939744openalex-snapshot
WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection
inferred← citeshttps://doi.org/10.1109/tmm.2020.3042664openalex-snapshot
APSE: Attention-Aware Polarity-Sensitive Embedding for Emotion-Based Image Retrieval
inferred← citeshttps://doi.org/10.1109/wacv61041.2025.00545openalex-snapshot
Closing the Domain Gap in Manga Colorization via Aligned Paired Dataset
inferred← citeshttps://doi.org/10.1145/3722558openalex-snapshot
Fine-grained Semantic Disentanglement Network for Multimodal Sarcasm Analysis
inferred← citeshttps://doi.org/10.1145/3744648openalex-snapshot
A Multimodal Semantic Fusion Network with Cross-Modal Alignment for Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.3390/electronics13204014openalex-snapshot
Level of Agreement between Emotions Generated by Artificial Intelligence and Human Evaluation: A Methodological Proposal
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