Multimodal Text And Image Classification On 1
평가 지표
Accuracy (%)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| Early Fusion (Bert + InceptionV3) | 92.5 | Image and Text fusion for UPMC Food-101 \using BERT and CNNs | |
| Late Fusion (Bert + InceptionV3) | 84.59 | Image and Text fusion for UPMC Food-101 \using BERT and CNNs |
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