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Multi-source Multi-level Attention Networks for Visual Question Answering

https://doi.org/10.1145/3316767
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_28openalex-snapshot
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_44openalex-snapshot
Revisiting Visual Question Answering Baselines
inferredcites →https://doi.org/10.1007/978-3-319-50077-5_12openalex-snapshot
Attributes as Semantic Units Between Natural Language and Visual Recognition
inferredcites →https://doi.org/10.1007/978-3-540-74690-4_56openalex-snapshot
Multi-dimensional Recurrent Neural Networks
inferredcites →https://doi.org/10.1007/s11263-016-0981-7openalex-snapshot
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cvpr.1993.341010openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7298754openalex-snapshot
From captions to visual concepts and back
inferredcites →https://doi.org/10.1109/cvpr.2015.7298878openalex-snapshot
Long-term recurrent convolutional networks for visual recognition and description
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.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.2016.29openalex-snapshot
What Value Do Explicit High Level Concepts Have in Vision to Language Problems?
inferredcites →https://doi.org/10.1109/cvpr.2016.497openalex-snapshot
Jointly Modeling Embedding and Translation to Bridge Video and Language
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.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.111openalex-snapshot
Video Captioning with Transferred Semantic Attributes
inferredcites →https://doi.org/10.1109/cvpr.2017.232openalex-snapshot
Dual Attention Networks for Multimodal Reasoning and Matching
inferredcites →https://doi.org/10.1109/cvpr.2017.446openalex-snapshot
Multi-level Attention Networks for Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2017.670openalex-snapshot
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2018.00378openalex-snapshot
Relation Networks for Object Detection
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/cvpr.2018.00642openalex-snapshot
Focal Visual-Text Attention for Visual Question Answering
inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/iccv.2015.230openalex-snapshot
Relaxing from Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging
inferredcites →https://doi.org/10.1109/iccv.2015.279openalex-snapshot
VQA: Visual Question Answering
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/iccv.2017.145openalex-snapshot
Structured Attentions for Visual Question Answering
inferredcites →https://doi.org/10.1109/iccv.2017.217openalex-snapshot
An Analysis of Visual Question Answering Algorithms
inferredcites →https://doi.org/10.1109/iccv.2017.285openalex-snapshot
MUTAN: Multimodal Tucker Fusion for Visual Question Answering
inferredcites →https://doi.org/10.1109/iccv.2017.524openalex-snapshot
Boosting Image Captioning with Attributes
inferredcites →https://doi.org/10.1109/tcsvt.2014.2380211openalex-snapshot
Image Tag Refinement With View-Dependent Concept Representations
inferredcites →https://doi.org/10.1109/tcyb.2013.2265601openalex-snapshot
Image Annotation by Multiple-Instance Learning With Discriminative Feature Mapping and Selection
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/tpami.2017.2708709openalex-snapshot
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
inferredcites →https://doi.org/10.1145/3115432openalex-snapshot
Image Captioning with Deep Bidirectional LSTMs and Multi-Task Learning
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1609/aaai.v31i1.10760openalex-snapshot
Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural Networks
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/d16-1092openalex-snapshot
Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions?
inferredcites →https://doi.org/10.18653/v1/d16-1203openalex-snapshot
Analyzing the Behavior of Visual Question Answering Models
inferredcites →https://doi.org/10.18653/v1/d17-1openalex-snapshot
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/d18-1164openalex-snapshot
Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions
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.1603.01417openalex-snapshot
Dynamic Memory Networks for Visual and Textual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1604.01485openalex-snapshot
A Focused Dynamic Attention Model for Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1606.00061openalex-snapshot
Hierarchical Question-Image Co-Attention for Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1706.01427openalex-snapshot
A simple neural network module for relational reasoning

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/s11042-023-15418-6openalex-snapshot
OECA-Net: A co-attention network for visual question answering based on OCR scene text feature enhancement
inferred← citeshttps://doi.org/10.1007/s11042-023-17945-8openalex-snapshot
Integrating multimodal features by a two-way co-attention mechanism for visual question answering
inferred← citeshttps://doi.org/10.1016/j.eij.2025.100768openalex-snapshot
Analytical residual network architecture with semi-supervision for sonar-based ship classification in underwater defense systems
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107384openalex-snapshot
Learning Deformable and Attentive Network for image restoration
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128850openalex-snapshot
Graph-enhanced visual representations and question-guided dual attention for visual question answering
inferred← citeshttps://doi.org/10.1080/13682199.2022.2153489openalex-snapshot
Visual question answering model based on the fusion of multimodal features by a two-way co-attention mechanism
inferred← citeshttps://doi.org/10.1109/access.2021.3090981openalex-snapshot
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
inferred← citeshttps://doi.org/10.1109/access.2022.3148201openalex-snapshot
A Non-Local Enhanced Network for Image Restoration
inferred← citeshttps://doi.org/10.1109/ibcast54850.2022.9990154openalex-snapshot
Analysis of Multimodal Representation Learning Across Medical Images and Reports Using Multiple Vision and Language Pre-Trained Models
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096849openalex-snapshot
Nested Attention Network with Graph Filtering for Visual Question and Answering
inferred← citeshttps://doi.org/10.1109/icftic64248.2024.10912939openalex-snapshot
Visual Question Answering based on Multimodal Deep Feature Fusion
inferred← citeshttps://doi.org/10.1111/coin.12624openalex-snapshot
Enhancing visual question answering with a two‐way co‐attention mechanism and integrated multimodal features
inferred← citeshttps://doi.org/10.1145/3498340openalex-snapshot
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach
inferred← citeshttps://doi.org/10.1145/3501799openalex-snapshot
Densely Enhanced Semantic Network for Conversation System in Social Media
inferred← citeshttps://doi.org/10.1145/3579095openalex-snapshot
VL-NMS: Breaking Proposal Bottlenecks in Two-stage Visual-language Matching
inferred← citeshttps://doi.org/10.1145/3604557openalex-snapshot
Language-guided Residual Graph Attention Network and Data Augmentation for Visual Grounding
inferred← citeshttps://doi.org/10.1145/3605781openalex-snapshot
Transformer-Based Relational Inference Network for Complex Visual Relational Reasoning
inferred← citeshttps://doi.org/10.1145/3618301openalex-snapshot
Cross-modality Multiple Relations Learning for Knowledge-based Visual Question Answering
inferred← citeshttps://doi.org/10.1145/3640014openalex-snapshot
Diverse Visual Question Generation Based on Multiple Objects Selection
inferred← citeshttps://doi.org/10.1145/3656045openalex-snapshot
Universal Relocalizer for Weakly Supervised Referring Expression Grounding
inferred← citeshttps://doi.org/10.1145/3704262openalex-snapshot
A Survey of AI-Generated Content (AIGC)
inferred← citeshttps://doi.org/10.1145/3715141openalex-snapshot
Language-guided Bias Generation Contrastive Strategy for Visual Question Answering
inferred← citeshttps://doi.org/10.1145/3729231openalex-snapshot
Elevating Textual Question Answering with On-Demand Visual Augmentation
inferred← citeshttps://doi.org/10.1145/3785327openalex-snapshot
Code-Driven LLM Agent for One-Shot Explanatory Visual Question Answering
inferred← citeshttps://doi.org/10.26599/bdma.2024.9020079openalex-snapshot
Seeing and Reasoning: A Simple Deep Learning Approach to Visual Question Answering
inferred← citeshttps://doi.org/10.26599/tst.2024.9010093openalex-snapshot
Dual-Modality Integration Attention with Graph-Based Feature Extraction for Visual Question and Answering
inferred← citeshttps://doi.org/10.29207/resti.v7i4.4708openalex-snapshot
Folk Games Image Captioning using Object Attention
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