Meme Classification on Bn-HIB 1.0 (test)
77.46AccuracyMCFM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MCFMModality=Multimodal2026.02 | 77.46 | 77.65 | |
| Cross-Att (I→T)Modality=Multimodal2026.02 | 76.84 | 77.18 | |
| Cross-Att (T→I)Modality=Multimodal2026.02 | 76.43 | 76.49 | |
| CLIPModality=Multimodal2026.02 | 72.95 | 73.22 | |
| MDeBERTa-V3Modality=Textual2026.02 | 71.93 | 72.35 | |
| XLM-RModality=Textual2026.02 | 71.52 | 71.62 | |
| Banglish BERTModality=Textual2026.02 | 70.7 | 71.09 | |
| M-BERTModality=Textual2026.02 | 68.65 | 69.06 | |
| MurilModality=Textual2026.02 | 64.75 | 64.62 | |
| Early FusionModality=Multimodal2026.02 | 63.73 | 64.4 | |
| Late FusionModality=Multimodal2026.02 | 62.3 | 62.01 | |
| Swin-V2Modality=Visual2026.02 | 59.22 | 59.09 | |
| ConvNextModality=Visual2026.02 | 57.38 | 57.31 | |
| ResNet-50Modality=Visual2026.02 | 55.53 | 55.09 | |
| FocalNet-lrfModality=Textual2026.02 | 55.12 | 55.06 | |
| EffNet-B3Modality=Visual2026.02 | 52.05 | 52.05 | |
| ViT-B16Modality=Visual2026.02 | 47.34 | 47.9 |