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Meme Classification

Meme classification refers to the task of classifying internet memes.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–59 of 59 papers

Title	Date	Tasks	Status	Hype
Learning Transferable Visual Models From Natural Language Supervision	Feb 26, 2021	Action RecognitionBenchmarking	CodeCode Available	2
Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge	Dec 23, 2020	Ensemble LearningMeme Classification	CodeCode Available	1
Enhance Multimodal Transformer With External Label And In-Domain Pretrain: Hateful Meme Challenge Winning Solution	Dec 15, 2020	Meme Classification	CodeCode Available	1
Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes	Dec 14, 2020	Meme Classification	CodeCode Available	1
Only text? only image? or both? Predicting sentiment of internet memes	Dec 1, 2020	ClassificationMeme Classification	—Unverified	0
KAFK at SemEval-2020 Task 8: Extracting Features from Pre-trained Neural Networks to Classify Internet Memes	Dec 1, 2020	ClassificationMeme Classification	CodeCode Available	0
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes	May 10, 2020	Binary ClassificationClassification	CodeCode Available	3
Multimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and Text	May 1, 2020	Abuse DetectionMeme Classification	CodeCode Available	1
memeBot: Towards Automatic Image Meme Generation	Apr 30, 2020	DecoderMeme Captioning	—Unverified	0

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All datasets Hateful Memes MultiOFF Tamil Memes

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	RA-HMD (Qwen2-VL-7B)	ROC-AUC	0.91	—	Unverified
2	RA-HMD (LLaVA-1.5-7B)	ROC-AUC	0.9	—	Unverified
3	PaLI-X-VPD	ROC-AUC	0.89	—	Unverified
4	RA-HMD (Qwen2-VL-2B)	ROC-AUC	0.88	—	Unverified
5	RGCL (CLIP)	ROC-AUC	0.87	—	Unverified
6	Flamingo (fine-tuned)	ROC-AUC	0.87	—	Unverified
7	Hate-CLIPper - Align	ROC-AUC	0.86	—	Unverified
8	ISSUES	ROC-AUC	0.86	—	Unverified
9	Ron Zhu	ROC-AUC	0.85	—	Unverified
10	Human	ROC-AUC	0.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RA-HMD (Qwen2-VL-7B)	Accuracy	71.1	—	Unverified
2	RGCL	Accuracy	67.1	—	Unverified
3	HateCLIPper	Accuracy	62.4	—	Unverified
4	CLIP	Accuracy	62.4	—	Unverified
5	MultiOFF	F1	50	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Hate-CLIPper	Micro-F1	0.59	—	Unverified
2	UVCE-IIITT	Micro-F1	0.47	—	Unverified