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Image captioning by incorporating affective concepts learned from both visual and textual components

https://doi.org/10.1016/j.neucom.2018.03.078

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Microsoft COCO: Common Objects in Context

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Every Picture Tells a Story: Generating Sentences from Images

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ImageNet Large Scale Visual Recognition Challenge

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Vividness of general mental imagery is associated with the occurrence of intrusive memories

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A novel algorithm of image fusion using shearlets

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Fast structural ensemble for One-Class Classification

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Strategies for training large scale neural network language models

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Mind's eye: A recurrent visual representation for image caption generation

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Long-term recurrent convolutional networks for visual recognition and description

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Deep visual-semantic alignments for generating image descriptions

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Show and tell: A neural image caption generator

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Natural Language Object Retrieval

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DenseCap: Fully Convolutional Localization Networks for Dense Captioning

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Image Captioning with Semantic Attention

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Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data

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StyleNet: Generating Attractive Visual Captions with Styles

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Translating Video Content to Natural Language Descriptions

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Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images

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A survey on emotional semantic image retrieval

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Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model

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I2T: Image Parsing to Text Description

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Latent Max-Margin Multitask Learning With Skelets for 3-D Action Recognition

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Real-Time Multimedia Social Event Detection in Microblog

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Guided Superpixel Method for Topographic Map Processing

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Linear Feature Separation From Topographic Maps Using Energy Density and the Shear Transform

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\(\mathcal {L}_p\) -Norm IDF for Scalable Image Retrieval

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Coupled Binary Embedding for Large-Scale Image Retrieval

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The Recognition of the Point Symbols in the Scanned Topographic Maps

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Fast Image Retrieval: Query Pruning and Early Termination

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Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression

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Discriminative Multi-instance Multitask Learning for 3D Action Recognition

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RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners

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A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data

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Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations

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BabyTalk: Understanding and Generating Simple Image Descriptions

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SIFT Meets CNN: A Decade Survey of Instance Retrieval

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Affective image classification using features inspired by psychology and art theory

inferredcites →https://doi.org/10.1145/2502081.2502282openalex-snapshot

Large-scale visual sentiment ontology and detectors using adjective noun pairs

inferredcites →https://doi.org/10.1145/2578726.2578756openalex-snapshot

Predicting Viewer Affective Comments Based on Image Content in Social Media

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Exploring Principles-of-Art Features For Image Emotion Recognition

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Object-Based Visual Sentiment Concept Analysis and Application

inferredcites →https://doi.org/10.1145/2964284.2964289openalex-snapshot

Predicting Personalized Emotion Perceptions of Social Images

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.1162/tacl_a_00188openalex-snapshot

T ree T alk : Composition and Compression of Trees for Image Descriptions

inferredcites →https://doi.org/10.1609/aaai.v25i1.7978openalex-snapshot

DISCO: Describing Images Using Scene Contexts and Objects

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.v30i1.10475openalex-snapshot

SentiCap: Generating Image Descriptions with Sentiments

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/10.1613/jair.3994openalex-snapshot

Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics

inferredcites →https://doi.org/10.18653/v1/d13-1197openalex-snapshot

Learning Distributions over Logical Forms for Referring Expression Generation

inferredcites →https://doi.org/10.2307/417141openalex-snapshot

WordNet: An electronic lexical database . Ed. by Christiane Fellbaum. Cambridge, MA: MIT Press, 1998. Pp. xxii, 423.

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/10.3115/1706269.1706296openalex-snapshot

Building a semantically transparent corpus for the generation of referring expressions

inferredcites →https://doi.org/10.3115/1708322.1708334openalex-snapshot

The use of spatial relations in referring expression generation

inferredcites →https://doi.org/10.3115/v1/d14-1086openalex-snapshot

ReferItGame: Referring to Objects in Photographs of Natural Scenes

inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot

Glove: Global Vectors for Word Representation

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.1408.5093openalex-snapshot

Caffe: Convolutional Architecture for Fast Feature Embedding

inferredcites →https://doi.org/10.48550/arxiv.1410.8586openalex-snapshot

DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1411.2539openalex-snapshot

Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models

inferredcites →https://doi.org/10.48550/arxiv.1504.00325openalex-snapshot

Microsoft COCO Captions: Data Collection and Evaluation Server

inferredcites →https://doi.org/10.48550/arxiv.1603.09016openalex-snapshot

Rich Image Captioning in the Wild

inferredcites →https://doi.org/10.48550/arxiv.cs/0205028openalex-snapshot

NLTK: The Natural Language Toolkit

What points at this work

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

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Narrating Images and Text through “NAYAN”

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Application of Pattern Recognition in Computer Image Processing

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A Novel Image Captioning Model Based on Morphology and Fisher Vectors

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Image captioning improved visual question answering

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A cooperative approach based on self-attention with interactive attribute for image caption

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Combining semi-supervised model and optimized LSTM for image caption generation based on pseudo labels

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A lightweight convolutional neural network for large-scale Chinese image caption

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Image caption generation using a dual attention mechanism

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Image captioning using transformer-based double attention network

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Missing value imputation in multivariate time series with end-to-end generative adversarial networks

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A multimodal fusion approach for image captioning

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Interactions Guided Generative Adversarial Network for unsupervised image captioning

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You should know more: Learning external knowledge for visual dialog

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Disinhibition maintains network performances in concept learning through regulating neural responses

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A thorough review of models, evaluation metrics, and datasets on image captioning

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Image Caption using CNN in Computer Vision

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Image caption generation method based on an interaction mechanism and scene concept selection module

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Efficient Evolving Deep Ensemble Medical Image Captioning Network

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Multi-Granularity Feature Fusion for Image-Guided Story Ending Generation

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A Widespread Assessment and Open Issues on Image Captioning Models

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[Retracted] Design of Service Robot Based on User Emotion Recognition and Environmental Monitoring

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FeelingBlue: A Corpus for Understanding the Emotional Connotation of Color in Context

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Image Captioning using Deep Learning: A Systematic Literature Review

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Effectively Utilizing the Category Labels for Image Captioning

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An Extensive Analysis of Image Captioning Models, Evaluation Measures, and Datasets

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Research on face emotion recognition algorithm based on deep learning neural network

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High-level and Low-level Feature Set for Image Caption Generation with Optimized Convolutional Neural Network

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Optimizing Sentiment Integration in Image Captioning Using Transformer-Based Fusion Strategies

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Dual-Modal Transformer with Enhanced Inter- and Intra-Modality Interactions for Image Captioning

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Attention Mechanisms in Convolutional Neural Networks for Nitrogen Treatment Detection in Tomato Leaves Using Hyperspectral Images

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A Survey on Deep Learning in Image Polarity Detection: Balancing Generalization Performances and Computational Costs

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Extracting Effective Image Attributes with Refined Universal Detection

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