Papers Meme Classification
“Meme Classification” 태그가 달린 논문 60편 · 필터 해제
Multimodal and Explainable Internet Meme Classification
In the current context where online platforms have been effectively weaponized in a variety of geo-political events and social issues, Internet memes make fair content moderation at scale even more difficult. Existing wo…
ClassificationExplainable ModelsHate Speech DetectionMeme ClassificationHate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features
Hateful memes are a growing menace on social media. While the image and its corresponding text in a meme are related, they do not necessarily convey the same meaning when viewed individually. Hence, detecting hateful mem…
Hateful Meme ClassificationMeme ClassificationMUTE: A Multimodal Dataset for Detecting Hateful Memes
The exponential surge of social media has enabled information propagation at an unprecedented rate. However, it also led to the generation of a vast amount of malign content, such as hateful memes. To eradicate the detri…
Meme ClassificationMultimodal Feature Extraction for Memes Sentiment Classification
In this study, we propose feature extraction for multimodal meme classification using Deep Learning approaches. A meme is usually a photo or video with text shared by the young generation on social media platforms that e…
ClassificationMeme ClassificationSentiment AnalysisSentiment ClassificationASRtrans at SemEval-2022 Task 5: Transformer-based Models for Meme Classification
Women are frequently targeted online with hate speech and misogyny using tweets, memes, and other forms of communication. This paper describes our system for Task 5 of SemEval-2022: Multimedia Automatic Misogyny Identifi…
Binary ClassificationMeme ClassificationMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONAIDA-UPM at SemEval-2022 Task 5: Exploring Multimodal Late Information Fusion for Multimedia Automatic Misogyny Identification
This paper describes the multimodal late fusion model proposed in the SemEval-2022 Multimedia Automatic Misogyny Identification (MAMI) task. The main contribution of this paper is the exploration of different late fusion…
Meme Classification0/1 Deep Neural Networks via Block Coordinate Descent
The step function is one of the simplest and most natural activation functions for deep neural networks (DNNs). As it counts 1 for positive variables and 0 for others, its intrinsic characteristics (e.g., discontinuity a…
10-shot image generation16k2D Object Detection+92Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification Framework
In this paper we describe our work towards building a generic framework for both multi-modal embedding and multi-label binary classification tasks, while participating in task 5 (Multimedia Automatic Misogyny Identificat…
Binary ClassificationMeme ClassificationMulti-Task LearningTeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification
The spread of fake news, propaganda, misinformation, disinformation, and harmful content online raised concerns among social media platforms, government agencies, policymakers, and society as a whole. This is because suc…
Meme ClassificationMisinformationSSN_MLRG1@DravidianLangTech-ACL2022: Troll Meme Classification in Tamil using Transformer Models
The ACL shared task of DravidianLangTech-2022 for Troll Meme classification is a binary classification task that involves identifying Tamil memes as troll or not-troll. Classification of memes is a challenging task since…
Binary ClassificationClassificationMeme ClassificationBPHC@DravidianLangTech-ACL2022-A comparative analysis of classical and pre-trained models for troll meme classification in Tamil
Trolling refers to any user behaviour on the internet to intentionally provoke or instigate conflict predominantly in social media. This paper aims to classify troll meme captions in Tamil-English code-mixed form. Embedd…
Meme ClassificationCUET-NLP@DravidianLangTech-ACL2022: Investigating Deep Learning Techniques to Detect Multimodal Troll Memes
With the substantial rise of internet usage, social media has become a powerful communication medium to convey information, opinions, and feelings on various issues. Recently, memes have become a popular way of sharing i…
Meme ClassificationFindings of the Shared Task on Multimodal Sentiment Analysis and Troll Meme Classification in Dravidian Languages
This paper presents the findings of the shared task on Multimodal Sentiment Analysis and Troll meme classification in Dravidian languages held at ACL 2022. Multimodal sentiment analysis deals with the identification of s…
ClassificationMeme ClassificationMultimodal Sentiment AnalysisSentiment AnalysisFlamingo: a Visual Language Model for Few-Shot Learning
Building models that can be rapidly adapted to novel tasks using only a handful of annotated examples is an open challenge for multimodal machine learning research. We introduce Flamingo, a family of Visual Language Mode…
Few-Shot LearningGenerative Visual Question AnsweringLanguage ModelingLanguage Modelling+12On Explaining Multimodal Hateful Meme Detection Models
Hateful meme detection is a new multimodal task that has gained significant traction in academic and industry research communities. Recently, researchers have applied pre-trained visual-linguistic models to perform the m…
ClassificationHateful Meme ClassificationMeme Classificationhate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification
Social media platforms often act as breeding grounds for various forms of trolling or malicious content targeting users or communities. One way of trolling users is by creating memes, which in most cases unites an image …
ClassificationMeme ClassificationVision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Discriminative self-supervised learning allows training models on any random group of internet images, and possibly recover salient information that helps differentiate between the images. Applied to ImageNet, this leads…
Action ClassificationAction RecognitionCopy DetectionDomain Generalization+13BLUE at Memotion 2.0 2022: You have my Image, my Text and my Transformer
Memes are prevalent on the internet and continue to grow and evolve alongside our culture. An automatic understanding of memes propagating on the internet can shed light on the general sentiment and cultural attitudes of…
Cultural Vocal Bursts Intensity PredictionMeme ClassificationSentenceDo Images really do the Talking? Analysing the significance of Images in Tamil Troll meme classification
A meme is an part of media created to share an opinion or emotion across the internet. Due to its popularity, memes have become the new forms of communication on social media. However, due to its nature, they are being u…
Language ModelingLanguage ModellingMeme ClassificationDisentangling Hate in Online Memes
Hateful and offensive content detection has been extensively explored in a single modality such as text. However, such toxic information could also be communicated via multimodal content such as online memes. Therefore, …
ClassificationHateful Meme ClassificationMeme Classification