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MemeFier: Dual-stage Modality Fusion for Image Meme Classification

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.inffus.2022.09.025openalex-snapshot

Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/iciip53038.2021.9702696openalex-snapshot

Multi Modal Analysis of memes for Sentiment extraction

inferredcites →https://doi.org/10.1109/icmew53276.2021.9455994openalex-snapshot

Multimodal Learning For Hateful Memes Detection

inferredcites →https://doi.org/10.1109/tkde.2019.2958342openalex-snapshot

A Survey on Canonical Correlation Analysis

inferredcites →https://doi.org/10.1109/wacv48630.2021.00159openalex-snapshot

FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation

inferredcites →https://doi.org/10.1142/s012906570000034xopenalex-snapshot

KERNEL AND NONLINEAR CANONICAL CORRELATION ANALYSIS

inferredcites →https://doi.org/10.1145/3474085.3475625openalex-snapshot

Disentangling Hate in Online Memes

inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.102openalex-snapshot

SESAM at SemEval-2020 Task 8: Investigating the Relationship between Image and Text in Sentiment Analysis of Memes

inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.111openalex-snapshot

DSC IIT-ISM at SemEval-2020 Task 8: Bi-Fusion Techniques for Deep Meme Emotion Analysis

inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.112openalex-snapshot

IIITG-ADBU at SemEval-2020 Task 8: A Multimodal Approach to Detect Offensive, Sarcastic and Humorous Memes

inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.113openalex-snapshot

NLP_UIOWA at SemEval-2020 Task 8: You’re Not the Only One Cursed with Knowledge - Multi Branch Model Memotion Analysis

inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.114openalex-snapshot

NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis

inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.116openalex-snapshot

YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis

inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.147openalex-snapshot

Gundapusunil at SemEval-2020 Task 8: Multimodal Memotion Analysis

inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.148openalex-snapshot

Guoym at SemEval-2020 Task 8: Ensemble-based Classification of Visuo-Lingual Metaphor in Memes

inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.150openalex-snapshot

IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes

inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.152openalex-snapshot

KAFK at SemEval-2020 Task 8: Extracting Features from Pre-trained Neural Networks to Classify Internet Memes

inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.160openalex-snapshot

UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis

inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.99openalex-snapshot

SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor!

inferredcites →https://doi.org/10.18653/v1/2021.woah-1.21openalex-snapshot

Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection

inferredcites →https://doi.org/10.18653/v1/2022.nlp4pi-1.20openalex-snapshot

Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features

inferredcites →https://doi.org/10.48550/arxiv.2005.04790openalex-snapshot

The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes

inferredcites →https://doi.org/10.48550/arxiv.2103.00020openalex-snapshot

Learning Transferable Visual Models From Natural Language Supervision

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4691091openalex-extracted

inferred← citeshttps://doi.org/10.1002/asi.24900openalex-snapshot

Bridging gaps in image meme research: A multidisciplinary paradigm for scaling up qualitative analyses

inferred← citeshttps://doi.org/10.1007/978-3-031-96239-4_32openalex-snapshot

Bi-modal Image-Text Fusion for Sentiment Analysis

inferred← citeshttps://doi.org/10.1007/s11760-026-05325-2openalex-snapshot

CMTA-meme: dynamic cross-modal attention and multi-task learning for resolving implicit hate in memes

inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116126openalex-snapshot

DAMM: Dynamic modality Aware weighted embeddings fusion for Multimodal Meme detection

inferred← citeshttps://doi.org/10.1016/j.nlp.2026.100197openalex-snapshot

Fuse-MD: A culturally-aware multimodal model for detecting misogyny memes

inferred← citeshttps://doi.org/10.1109/access.2024.3406258openalex-snapshot

A Review of Deep Learning Techniques for Multimodal Fake News and Harmful Languages Detection

inferred← citeshttps://doi.org/10.1109/cvidl65390.2025.11086000openalex-snapshot

Beyond Text or Image: A Comparative Study of Fine-Tuned VLM for Meme Hate Speech Detection

inferred← citeshttps://doi.org/10.1109/icme59968.2025.11208996openalex-snapshot

Enhancing Hateful Meme Detection via Modality Enhancement and Multi-View Fusion

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650898openalex-snapshot

A CLIP-based Siamese Approach for Meme Classification

inferred← citeshttps://doi.org/10.1109/tcss.2025.3553939openalex-snapshot

RED-DOT: Multimodal Fact-Checking viaRelevant Evidence Detection

inferred← citeshttps://doi.org/10.1109/wacv61042.2026.00741openalex-snapshot

MemeTAG: Keyword-Driven Meme Classification through Tag Embedding Reconstruction

inferred← citeshttps://doi.org/10.1111/coin.70219openalex-snapshot

MMLTC : A Novel Tolerance‐Based Clustering Framework for Multimodal Sentiment and Harmful Meme Classification in Multilingual Settings

inferred← citeshttps://doi.org/10.1145/3664647.3681060openalex-snapshot

Generating Multimodal Metaphorical Features for Meme Understanding

inferred← citeshttps://doi.org/10.1145/3726302.3730014openalex-snapshot

Is Having Rationales Enough? Rethinking Knowledge Enhancement for Multimodal Hateful Meme Detection

inferred← citeshttps://doi.org/10.1145/3728481.3762164openalex-snapshot

Revealing Temporal Label Noise in Multimodal Hateful Video Classification

inferred← citeshttps://doi.org/10.18653/v1/2025.dravidianlangtech-1.49openalex-snapshot

Code_Conquerors@DravidianLangTech 2025: Multimodal Misogyny Detection in Dravidian Languages Using Vision Transformer and BERT

inferred← citeshttps://doi.org/10.21203/rs.3.rs-4663307/v1openalex-snapshot

Identification of Trolling Memes in Kannada and Tulu - Under-resourced Dravidian Languages

inferred← citeshttps://doi.org/10.3390/s24175456openalex-snapshot

PolyMeme: Fine-Grained Internet Meme Sensing

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