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Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-58577-8_7openalex-snapshot
UNITER: UNiversal Image-TExt Representation Learning
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/iccv.2015.303openalex-snapshot
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
inferredcites →https://doi.org/10.1145/3115432openalex-snapshot
Image Captioning with Deep Bidirectional LSTMs and Multi-Task Learning
inferredcites →https://doi.org/10.1145/3394171.3413961openalex-snapshot
Context-Aware Multi-View Summarization Network for Image-Text Matching
inferredcites →https://doi.org/10.1609/aaai.v33i01.33018167openalex-snapshot
Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
inferredcites →https://doi.org/10.1609/aaai.v34i07.6795openalex-snapshot
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.703openalex-snapshot
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.195openalex-snapshot
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-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.1908.03557openalex-snapshot
VisualBERT: A Simple and Performant Baseline for Vision and Language
inferredcites →https://doi.org/10.48550/arxiv.2007.02375openalex-snapshot
Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Capture Concept Through Comparison: Vision-and-Language Representation Learning with Intrinsic Information Mining
inferred← citeshttps://doi.org/10.1007/s11263-026-02886-0openalex-snapshot
CMPF: Harmonizing Cross-Model Prior Fusion for Open-Vocabulary Segmentation
inferred← citeshttps://doi.org/10.1007/s13369-024-09067-6openalex-snapshot
ARDN: Attention Re-distribution Network for Visual Question Answering
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104418openalex-snapshot
CREST: A causal framework for mitigating shortcut learning in language models through counterfactual reasoning
inferred← citeshttps://doi.org/10.1038/s41598-025-31627-5openalex-snapshot
Collaborative positional attention for image to English question answering
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Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation Systems
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Real-Time Discovery and Mining System of Blockchain Extractable Value for Decentralized Finance Protocol Optimization
inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3303945openalex-snapshot
SNP-S3: Shared Network Pre-Training and Significant Semantic Strengthening for Various Video-Text Tasks
inferred← citeshttps://doi.org/10.1109/tmm.2025.3599078openalex-snapshot
Quality-Guided Vision-Language Learning for Long-Term Action Quality Assessment
inferred← citeshttps://doi.org/10.1117/12.3034096openalex-snapshot
Cross-modal image text retrieval based on cross-optimization and joint strategy
inferred← citeshttps://doi.org/10.1145/3514041openalex-snapshot
Boosting Scene Graph Generation with Visual Relation Saliency
inferred← citeshttps://doi.org/10.1145/3526024openalex-snapshot
Boosting Vision-and-Language Navigation with Direction Guiding and Backtracing
inferred← citeshttps://doi.org/10.1145/3539225openalex-snapshot
Retrieval Augmented Convolutional Encoder-decoder Networks for Video Captioning
inferred← citeshttps://doi.org/10.1145/3585388openalex-snapshot
TEVL: Trilinear Encoder for Video-language Representation Learning
inferred← citeshttps://doi.org/10.1145/3688804openalex-snapshot
MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples
inferred← citeshttps://doi.org/10.1145/3711868openalex-snapshot
Multi-Grained Contrastive Learning for Text-Supervised Open-Vocabulary Semantic Segmentation
inferred← citeshttps://doi.org/10.1145/3726302.3730290openalex-snapshot
Benchmark Granularity and Model Robustness for Image-Text Retrieval: A Reproducibility Study
inferred← citeshttps://doi.org/10.1145/3774884openalex-snapshot
Dual Alignment-Enhanced Fashion Vision-Language Pre-Training
inferred← citeshttps://doi.org/10.1155/2023/9597905openalex-snapshot
Defending Privacy Inference Attacks to Federated Learning for Intelligent IoT with Parameter Compression
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.873openalex-snapshot
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning
inferred← citeshttps://doi.org/10.3390/app14062657openalex-snapshot
A Unified Visual and Linguistic Semantics Method for Enhanced Image Captioning
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