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Cross-Modal Hybrid Feature Fusion for Image-Sentence Matching
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-01225-0_13openalex-snapshot
Stacked Cross Attention for Image-Text Matching
inferredcites →https://doi.org/10.1007/978-3-030-01246-5_42openalex-snapshot
Deep Cross-Modal Projection Learning for Image-Text Matching
inferredcites →https://doi.org/10.1007/978-3-030-58586-0_2openalex-snapshot
Consensus-Aware Visual-Semantic Embedding for Image-Text Matching
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-7908-2604-3_16openalex-snapshot
Large-Scale Machine Learning with Stochastic Gradient Descent
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/10.1016/j.inffus.2019.03.005openalex-snapshot
Information fusion in visual question answering: A Survey
inferredcites →https://doi.org/10.1016/j.neucom.2018.01.007openalex-snapshot
Fine-grained attention mechanism for neural machine translation
inferredcites →https://doi.org/10.1016/j.patcog.2020.107359openalex-snapshot
Stacked squeeze-and-excitation recurrent residual network for visual-semantic matching
inferredcites →https://doi.org/10.1109/cvpr.2016.541openalex-snapshot
Learning Deep Structure-Preserving Image-Text Embeddings
inferredcites →https://doi.org/10.1109/cvpr.2017.767openalex-snapshot
Instance-Aware Image and Sentence Matching with Selective Multimodal LSTM
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.2018.00645openalex-snapshot
Learning Semantic Concepts and Order for Image and Sentence Matching
inferredcites →https://doi.org/10.1109/cvpr.2018.00731openalex-snapshot
Occluded Pedestrian Detection Through Guided Attention in CNNs
inferredcites →https://doi.org/10.1109/cvpr.2019.00205openalex-snapshot
Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing
inferredcites →https://doi.org/10.1109/cvpr.2019.00208openalex-snapshot
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval
inferredcites →https://doi.org/10.1109/cvpr.2019.00677openalex-snapshot
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations
inferredcites →https://doi.org/10.1109/cvpr.2019.00680openalex-snapshot
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01095openalex-snapshot
Multi-Modality Cross Attention Network for Image and Sentence Matching
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01267openalex-snapshot
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval
inferredcites →https://doi.org/10.1109/iccv.2017.209openalex-snapshot
Identity-Aware Textual-Visual Matching with Latent Co-attention
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.2017.442openalex-snapshot
Learning a Recurrent Residual Fusion Network for Multimodal Matching
inferredcites →https://doi.org/10.1109/iccv.2019.00473openalex-snapshot
Attention on Attention for Image Captioning
inferredcites →https://doi.org/10.1109/iccv.2019.00586openalex-snapshot
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
inferredcites →https://doi.org/10.1109/iccv.2019.00591openalex-snapshot
Adversarial Representation Learning for Text-to-Image Matching
inferredcites →https://doi.org/10.1109/infcom.2009.5062240openalex-snapshot
Scalable Routing Via Greedy Embedding
inferredcites →https://doi.org/10.1109/tcyb.2016.2519449openalex-snapshot
Cross-Modal Retrieval With CNN Visual Features: A New Baseline
inferredcites →https://doi.org/10.1109/tcyb.2019.2928180openalex-snapshot
Ternary Adversarial Networks With Self-Supervision for Zero-Shot Cross-Modal Retrieval
inferredcites →https://doi.org/10.1109/tip.2018.2882225openalex-snapshot
Bi-Directional Spatial-Semantic Attention Networks for Image-Text Matching
inferredcites →https://doi.org/10.1109/tip.2019.2923608openalex-snapshot
Neural Multimodal Cooperative Learning Toward Micro-Video Understanding
inferredcites →https://doi.org/10.1109/tpami.2018.2797921openalex-snapshot
Learning Two-Branch Neural Networks for Image-Text Matching Tasks
inferredcites →https://doi.org/10.1109/tpami.2018.2883466openalex-snapshot
Image and Sentence Matching via Semantic Concepts and Order Learning
inferredcites →https://doi.org/10.1109/tpami.2020.3045530openalex-snapshot
Joint Feature Synthesis and Embedding: Adversarial Cross-Modal Retrieval Revisited
inferredcites →https://doi.org/10.1109/wacv45572.2020.9093614openalex-snapshot
Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval
inferredcites →https://doi.org/10.1126/science.1138071openalex-snapshot
Top-Down Versus Bottom-Up Control of Attention in the Prefrontal and Posterior Parietal Cortices
inferredcites →https://doi.org/10.1145/1991996.1992040openalex-snapshot
Semantic combination of textual and visual information in multimedia retrieval
inferredcites →https://doi.org/10.1145/3123266.3123341openalex-snapshot
Towards Micro-video Understanding by Joint Sequential-Sparse Modeling
inferredcites →https://doi.org/10.1145/3240508.3240535openalex-snapshot
Joint Global and Co-Attentive Representation Learning for Image-Sentence Retrieval
inferredcites →https://doi.org/10.1145/3300939openalex-snapshot
Modality-Invariant Image-Text Embedding for Image-Sentence Matching
inferredcites →https://doi.org/10.1145/3314577openalex-snapshot
Cross-Modality Retrieval by Joint Correlation Learning
inferredcites →https://doi.org/10.1145/3343031.3350875openalex-snapshot
Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
inferredcites →https://doi.org/10.1145/3356338openalex-snapshot
Sequential Cross-Modal Hashing Learning via Multi-scale Correlation Mining
inferredcites →https://doi.org/10.1145/3374754openalex-snapshot
Learning Shared Semantic Space with Correlation Alignment for Cross-Modal Event Retrieval
inferredcites →https://doi.org/10.1145/3394955openalex-snapshot
Image Captioning with a Joint Attention Mechanism by Visual Concept Samples
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/10.1609/aaai.v33i01.33018102openalex-snapshot
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
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/d17-1115openalex-snapshot
Tensor Fusion Network for Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/n18-2125openalex-snapshot
Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning
inferredcites →https://doi.org/10.18653/v1/p18-1209openalex-snapshot
Efficient Low-rank Multimodal Fusion With Modality-Specific Factors
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.5244/c.28openalex-snapshot
Proceedings of the British Machine Vision Conference 2014
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Relationship-Experts Transformer for Image Captioning
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