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Aggregating Image and Text Quantized Correlated Components

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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/s11263-011-0494-3openalex-snapshot
Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search
inferredcites →https://doi.org/10.1007/s11263-013-0636-xopenalex-snapshot
Image Classification with the Fisher Vector: Theory and Practice
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/10.1109/cvpr.2013.112openalex-snapshot
Subcategory-Aware Object Classification
inferredcites →https://doi.org/10.1109/cvpr.2015.7298856openalex-snapshot
Mind's eye: A recurrent visual representation for image caption generation
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.2015.7298998openalex-snapshot
Fisher vectors meet Neural Networks: A hybrid classification architecture
inferredcites →https://doi.org/10.1109/cvprw.2014.124openalex-snapshot
Clustering Social Event Images Using Kernel Canonical Correlation Analysis
inferredcites →https://doi.org/10.1109/tpami.2011.190openalex-snapshot
Reading between the Lines: Object Localization Using Implicit Cues from Image Tags
inferredcites →https://doi.org/10.1109/tpami.2011.235openalex-snapshot
Aggregating Local Image Descriptors into Compact Codes
inferredcites →https://doi.org/10.1109/tpami.2013.113openalex-snapshot
Feature Coding in Image Classification: A Comprehensive Study
inferredcites →https://doi.org/10.1109/tpami.2013.142openalex-snapshot
On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval
inferredcites →https://doi.org/10.1109/tpami.2015.2389824openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1109/tpami.2015.2491929openalex-snapshot
HCP: A Flexible CNN Framework for Multi-Label Image Classification
inferredcites →https://doi.org/10.1145/2647868.2654902openalex-snapshot
Cross-modal Retrieval with Correspondence Autoencoder
inferredcites →https://doi.org/10.1162/0899766042321814openalex-snapshot
Canonical Correlation Analysis: An Overview with Application to Learning Methods
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/10.1613/jair.3994openalex-snapshot
Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
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.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.5244/c.25.76openalex-snapshot
The devil is in the details: an evaluation of recent feature encoding methods
inferredcites →https://doi.org/10.5244/c.28.6openalex-snapshot
Return of the Devil in the Details: Delving Deep into Convolutional Nets

What points at this work

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

inferred← citeshttps://doi.org/10.1002/int.22723openalex-snapshot
Cross‐media search method based on complementary attention and generative adversarial network for social networks
inferred← citeshttps://doi.org/10.1007/978-3-030-45439-5openalex-snapshot
Advances in Information Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-030-45439-5_31openalex-snapshot
Multimodal Entity Linking for Tweets
inferred← citeshttps://doi.org/10.1007/978-3-030-66415-2_42openalex-snapshot
Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning
inferred← citeshttps://doi.org/10.1007/978-981-97-7532-3_1openalex-snapshot
Image Caption Generation Using Neural Networks
inferred← citeshttps://doi.org/10.1007/s10489-024-05501-2openalex-snapshot
Semantic-alignment transformer and adversary hashing for cross-modal retrieval
inferred← citeshttps://doi.org/10.1007/s11042-023-14877-1openalex-snapshot
Learning semantic ambiguities for zero-shot learning
inferred← citeshttps://doi.org/10.1007/s13042-026-03103-7openalex-snapshot
Research on feature fusion-based deep adversarial hashing for cross-modal retrieval
inferred← citeshttps://doi.org/10.1007/s13735-018-00166-3openalex-snapshot
Joint embeddings with multimodal cues for video-text retrieval
inferred← citeshttps://doi.org/10.1016/j.cviu.2017.05.017openalex-snapshot
Vision-language integration using constrained local semantic features
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.10.082openalex-snapshot
Hybrid representation learning for cross-modal retrieval
inferred← citeshttps://doi.org/10.1109/tcsvt.2019.2927295openalex-snapshot
Quintuple-Media Joint Correlation Learning With Deep Compression and Regularization
inferred← citeshttps://doi.org/10.1109/tmm.2017.2742704openalex-snapshot
CCL: Cross-modal Correlation Learning With Multigrained Fusion by Hierarchical Network
inferred← citeshttps://doi.org/10.1109/tmm.2018.2877885openalex-snapshot
Show and Tell in the Loop: Cross-Modal Circular Correlation Learning
inferred← citeshttps://doi.org/10.1109/tmm.2019.2942494openalex-snapshot
Online Fast Adaptive Low-Rank Similarity Learning for Cross-Modal Retrieval
inferred← citeshttps://doi.org/10.1109/tmm.2020.2985540openalex-snapshot
Augmented Adversarial Training for Cross-Modal Retrieval
inferred← citeshttps://doi.org/10.1109/tvt.2018.2890405openalex-snapshot
Common Semantic Representation Method Based on Object Attention and Adversarial Learning for Cross-Modal Data in IoV
inferred← citeshttps://doi.org/10.1145/3078971.3078993openalex-snapshot
AMECON
inferred← citeshttps://doi.org/10.1145/3404835.3462974openalex-snapshot
Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval
inferred← citeshttps://doi.org/10.24963/ijcai.2018/124openalex-snapshot
Cross-media Multi-level Alignment with Relation Attention Network
inferred← citeshttps://doi.org/10.63317/4fbw5sb5bh78openalex-snapshot
Building a multimodal entity linking dataset from tweets
inferred← citeshttps://doi.org/10.70675/6a8e2fd3zb9a1z48cfzadeez002302237cafopenalex-snapshot
Vers l’universalité des représentations visuelle et multimodales
inferred← citeshttps://doi.org/10.70675/c4105e4dzf57cz41f5z921ezb0a118c41d90openalex-snapshot
Robust and comprehensive joint image-text representations
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