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Image Captioning by Asking Questions
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-47979-1_7openalex-snapshot
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_17openalex-snapshot
Leveraging Visual Question Answering for Image-Caption Ranking
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_28openalex-snapshot
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
inferredcites →https://doi.org/10.1007/978-3-642-15561-1_2openalex-snapshot
Every Picture Tells a Story: Generating Sentences from Images
inferredcites →https://doi.org/10.1007/s11263-013-0658-4openalex-snapshot
A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics
inferredcites →https://doi.org/10.1016/j.cviu.2017.05.001openalex-snapshot
Visual question answering: A survey of methods and datasets
inferredcites →https://doi.org/10.1073/pnas.1422953112openalex-snapshot
Visual Turing test for computer vision systems
inferredcites →https://doi.org/10.1109/cvpr.2015.7298932openalex-snapshot
Deep visual-semantic alignments for generating image descriptions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298935openalex-snapshot
Show and tell: A neural image caption generator
inferredcites →https://doi.org/10.1109/cvpr.2015.7299087openalex-snapshot
CIDEr: Consensus-based image description evaluation
inferredcites →https://doi.org/10.1109/cvpr.2016.10openalex-snapshot
Stacked Attention Networks for Image Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2016.11openalex-snapshot
Image Question Answering Using Convolutional Neural Network with Dynamic Parameter Prediction
inferredcites →https://doi.org/10.1109/cvpr.2016.499openalex-snapshot
Where to Look: Focus Regions for Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2016.500openalex-snapshot
Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources
inferredcites →https://doi.org/10.1109/cvpr.2016.503openalex-snapshot
Image Captioning with Semantic Attention
inferredcites →https://doi.org/10.1109/cvpr.2016.540openalex-snapshot
Visual7W: Grounded Question Answering in Images
inferredcites →https://doi.org/10.1109/cvpr.2017.128openalex-snapshot
Deep Reinforcement Learning-Based Image Captioning with Embedding Reward
inferredcites →https://doi.org/10.1109/cvpr.2017.130openalex-snapshot
Captioning Images with Diverse Objects
inferredcites →https://doi.org/10.1109/cvpr.2017.131openalex-snapshot
Self-Critical Sequence Training for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr.2017.345openalex-snapshot
Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning
inferredcites →https://doi.org/10.1109/cvpr.2017.559openalex-snapshot
Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects
inferredcites →https://doi.org/10.1109/cvpr.2018.00636openalex-snapshot
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
inferredcites →https://doi.org/10.1109/iccv.2015.303openalex-snapshot
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
inferredcites →https://doi.org/10.1109/iccv.2015.9openalex-snapshot
Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images
inferredcites →https://doi.org/10.1109/mmul.2014.29openalex-snapshot
Joint Video and Text Parsing for Understanding Events and Answering Queries
inferredcites →https://doi.org/10.1109/tip.2016.2614132openalex-snapshot
Multi-View Object Retrieval via Multi-Scale Topic Models
inferredcites →https://doi.org/10.1109/tip.2017.2710635openalex-snapshot
Coherent Semantic-Visual Indexing for Large-Scale Image Retrieval in the Cloud
inferredcites →https://doi.org/10.1109/tip.2018.2846664openalex-snapshot
Sequential Video VLAD: Training the Aggregation Locally and Temporally
inferredcites →https://doi.org/10.1109/tpami.2017.2754246openalex-snapshot
FVQA: Fact-Based Visual Question Answering
inferredcites →https://doi.org/10.1145/3240508.3240640openalex-snapshot
Decoupled Novel Object Captioner
inferredcites →https://doi.org/10.1162/tacl_a_00166openalex-snapshot
From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
inferredcites →https://doi.org/10.1162/tacl_a_00177openalex-snapshot
Grounded Compositional Semantics for Finding and Describing Images with Sentences
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.v30i1.10442openalex-snapshot
Learning to Answer Questions from Image Using Convolutional Neural Network
inferredcites →https://doi.org/10.18653/v1/d16-1044openalex-snapshot
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
inferredcites →https://doi.org/10.18653/v1/n16-1181openalex-snapshot
Learning to Compose Neural Networks for Question Answering
inferredcites →https://doi.org/10.24963/ijcai.2017/179openalex-snapshot
Explicit Knowledge-based Reasoning for Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1406.5679openalex-snapshot
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
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.1412.6632openalex-snapshot
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
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.1505.00468openalex-snapshot
VQA: Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1505.05612openalex-snapshot
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1511.05676openalex-snapshot
Compositional Memory for Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1511.05960openalex-snapshot
ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1603.01417openalex-snapshot
Dynamic Memory Networks for Visual and Textual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1606.01455openalex-snapshot
Multimodal Residual Learning for Visual QA
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-19-0475-2_41openalex-snapshot
Remote Sensing Image Captioning via Multilevel Attention-Based Visual Question Answering
inferred← citeshttps://doi.org/10.1007/s11042-021-11276-2openalex-snapshot
Image captioning improved visual question answering
inferred← citeshttps://doi.org/10.1007/s11042-022-13793-0openalex-snapshot
Multilevel attention and relation network based image captioning model
inferred← citeshttps://doi.org/10.1007/s11063-022-11106-yopenalex-snapshot
A Framework for Image Captioning Based on Relation Network and Multilevel Attention Mechanism
inferred← citeshttps://doi.org/10.1088/1757-899x/1116/1/012118openalex-snapshot
A Survey on Image Encoders and Language Models for Image Captioning
inferred← citeshttps://doi.org/10.1088/1757-899x/1116/1/012184openalex-snapshot
A Survey on Image Captioning datasets and Evaluation Metrics
inferred← citeshttps://doi.org/10.1109/access.2025.3549478openalex-snapshot
Improving Visual Question Answering by Image Captioning
inferred← citeshttps://doi.org/10.1145/3461339openalex-snapshot
Community Detection in Partially Observable Social Networks
inferred← citeshttps://doi.org/10.1145/3473140openalex-snapshot
Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training
inferred← citeshttps://doi.org/10.1145/3546828openalex-snapshot
Learning Video-Text Aligned Representations for Video Captioning
inferred← citeshttps://doi.org/10.1145/3705322openalex-snapshot
Protein Captioning: Bridging the Gap between Protein Sequences and Natural Languages
inferred← citeshttps://doi.org/10.18653/v1/2020.emnlp-main.705openalex-snapshot
CapWAP: Image Captioning with a Purpose
inferred← citeshttps://doi.org/10.24996/ijs.2024.65.7.38openalex-snapshot
A Survey on Image Caption Generation in Various Languages
inferred← citeshttps://doi.org/10.48550/arxiv.2011.04264openalex-snapshot
CapWAP: Captioning with a Purpose
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