Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection | Paper Citation Record

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This paper cites Multimodal machine learning: A survey and taxonomy,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal machine learning: A survey and taxonomy,

Reference 1

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This paper cites Multimodal deep learning.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal deep learning

Reference 2

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Observation 2b420d81-273b-4fdd-ac56-9acab1fcb84b · outbound

This paper cites Emogif: A multimodal approach to detect emotional support in animated gifs,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Emogif: A multimodal approach to detect emotional support in animated gifs,

Reference 3

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Observation 902f643d-cccd-451a-8b66-850a5ffae337 · outbound

This paper cites Show, attend and tell: Neural image caption generation with visual attention,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Show, attend and tell: Neural image caption generation with visual attention,

Reference 4

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Observation c4a83c42-d133-4e0c-ba31-b529b1748ae2 · outbound

This paper cites Multiseao-mix: A multimodal multitask framework for sentiment, emotion, support, and offensive analysis in code-mixed setting,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multiseao-mix: A multimodal multitask framework for sentiment, emotion, support, and offensive analysis in code-mixed setting,

Reference 5

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This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 6

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This paper cites Multilingual denoising pre-training for neural machine translation,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multilingual denoising pre-training for neural machine translation,

Reference 7

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Observation 658d7049-9d45-493b-b371-e5ebc9a0f820 · outbound

This paper cites Unsupervised cross-lingual repre- sentation learning,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Unsupervised cross-lingual repre- sentation learning,

Reference 8

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This paper cites Imagenet classification with deep convolutional neural networks,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Imagenet classification with deep convolutional neural networks,

Reference 9

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This paper cites Deep residual learning for image recognition,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Deep residual learning for image recognition,

Reference 10

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Observation f1d1876b-3b70-424b-8a05-1bea3487143f · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

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This paper cites Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks,

Reference 12

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This paper cites LXMERT: Learning Cross-Modality Encoder Representations from Transformers.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Reference 13

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This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 14

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This paper cites Uniter: Learning universal image-text representations,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Uniter: Learning universal image-text representations,

Reference 15

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Observation 6ea5b5c5-9a58-4e88-98ab-87d2a4d5813e · outbound

This paper cites Dimension-wise gated cross-attention for multimodal sentiment analysis,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Dimension-wise gated cross-attention for multimodal sentiment analysis,

Reference 16

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Observation 3ee61b13-c91d-4c1f-844d-3ed3e0a293fe · outbound

This paper cites Multimodal transformer for unaligned multimodal language sequences,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal transformer for unaligned multimodal language sequences,

Reference 17

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This paper cites Relation-aware graph attention network for visual question answering,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Relation-aware graph attention network for visual question answering,

Reference 18

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Observation 5fed8fd8-0564-41d0-aaea-03421edce743 · outbound

This paper cites Multi-modal discussion transformer: Integrating text, images and graph transformers to detect hate speech on social media,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multi-modal discussion transformer: Integrating text, images and graph transformers to detect hate speech on social media,

Reference 19

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This paper cites Multimodal sentiment analysis in realistic environments based on cross-modal hierarchical fusion network,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal sentiment analysis in realistic environments based on cross-modal hierarchical fusion network,

Reference 20

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This paper cites Supervised Multimodal Bitransformers for Classifying Images and Text.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Supervised Multimodal Bitransformers for Classifying Images and Text

Reference 21

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Observation 0c8edc1f-0588-410a-ba91-3e1aba14e250 · outbound

This paper cites Emotion Based Hate Speech Detection using Multimodal Learning.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Emotion Based Hate Speech Detection using Multimodal Learning

Reference 22

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Observation a5aea849-5b60-4c91-9ba3-ba9f74292407 · outbound

This paper cites Multimodal datasets: misogyny, pornography, and malignant stereotypes.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal datasets: misogyny, pornography, and malignant stereotypes

Reference 23

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Observation a63db17a-0cde-4306-8178-6f0a8f633a4f · outbound

This paper cites Mul- timodal meme dataset (multioff) for identifying offensive content in image and text,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Mul- timodal meme dataset (multioff) for identifying offensive content in image and text,

Reference 24

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This paper cites Multi-modal twitter data analysis for identifying offensive posts using a deep cross atten- tion based transformer framework,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multi-modal twitter data analysis for identifying offensive posts using a deep cross atten- tion based transformer framework,

Reference 25

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This paper cites Multimodal large language model with lora fine-tuning for multimodal sentiment analysis,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal large language model with lora fine-tuning for multimodal sentiment analysis,

Reference 26

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This paper cites Image–text sentiment analysis via deep multimodal attentive fusion,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Image–text sentiment analysis via deep multimodal attentive fusion,

Reference 27

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This paper cites Pars-off: a benchmark for offensive language detec- tion on farsi social media,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Pars-off: a benchmark for offensive language detec- tion on farsi social media,

Reference 28

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Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Djmf: A discriminative joint multi-task framework for multimodal sentiment analysis based on intra- and inter-task dynamics,

Reference 29

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Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Joint multimodal sentiment analysis based on information relevance,

Reference 30

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This paper cites Decoding memes: a comprehensive analysis of late and early fusion models for explainable meme analysis,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Decoding memes: a comprehensive analysis of late and early fusion models for explainable meme analysis,

Reference 31

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This paper cites Multimodal sentiment analysis based on fusion methods: A survey,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal sentiment analysis based on fusion methods: A survey,

Reference 32

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This paper cites Multi- modal sentiment analysis: A systematic review of history, datasets, mul- timodal fusion methods, applications, challenges and future directions,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multi- modal sentiment analysis: A systematic review of history, datasets, mul- timodal fusion methods, applications, challenges and future directions,

Reference 33

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Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Mm-emor: multi-modal emotion recognition of social media using concatenated deep learning networks,

Reference 34

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Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Syntax-aware Hybrid prompt model for Few-shot multi-modal sentiment analysis

Reference 35

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This paper cites Offensive language detection for low resource language using deep sequence model,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Offensive language detection for low resource language using deep sequence model,

Reference 36

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Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Research on multimodal hate speech detection based on self-attention mechanism feature fusion,

Reference 37

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Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multi-modal sentiment analysis based on image and text fusion using a cross-attention mechanism,

Reference 38

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This paper cites Fusion and discrimina- tion: A multimodal graph contrastive learning framework for multimodal sarcasm detection,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Fusion and discrimina- tion: A multimodal graph contrastive learning framework for multimodal sarcasm detection,

Reference 39

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Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Attention is all you need,

Reference 40

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Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Squeeze-and-excitation networks,

Reference 41

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Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 42

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Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Layer Normalization

Reference 43

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This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 44

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Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Very Deep Convolutional Networks for Large-Scale Image Recognition

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This paper cites Efficientnetv2: Smaller models and faster training,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Efficientnetv2: Smaller models and faster training,

Reference 46

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This paper cites Unsupervised cross-lingual representation learning at scale,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Unsupervised cross-lingual representation learning at scale,

Reference 47

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This paper cites Learning transferable visual models from natural language supervision,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Learning transferable visual models from natural language supervision,

Reference 48

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Observation 75e1c397-4e51-4842-8322-de58d87ca50e · outbound

This paper cites Align before fuse: Vision and language representation learning with momentum distillation,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Align before fuse: Vision and language representation learning with momentum distillation,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:42.368041Z

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Unavailable: canonical work link unavailable.

Observation 2917c82c-04dd-4a1a-a83f-d3b8485219ce · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:42.505072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c72eb09-ef45-438d-bd65-bd13d7fa27ce · outbound

This paper cites Task report: Memotion analysis 1.0@ semeval 2020: The visuo-lingual metaphor,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Task report: Memotion analysis 1.0@ semeval 2020: The visuo-lingual metaphor,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:43.464721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 34dc37ce-0518-45bc-b2de-3014a1c73e59 · outbound

This paper cites Mimic: misogyny identification in multimodal internet content in hindi-english code-mixed language,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Mimic: misogyny identification in multimodal internet content in hindi-english code-mixed language,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:43.227741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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