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Document Image Classification On Tobacco 3482

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy	Paper Title	Repository
Multimodal Side-Tuning (ResNet50)	90.30	Multimodal Side-Tuning for Document Classification	-
DocBert [DOCBERT]	91.95	Efficient Document Image Classification Using Region-Based Graph Neural Network	-
Eff-GNN+ Word2Vec [word2vec]	73.5	Efficient Document Image Classification Using Region-Based Graph Neural Network	-
Multimodal Side-Tuning (MobileNetV2)	90.50	Multimodal Side-Tuning for Document Classification	-
DocXClassifier-L	95.57	DocXClassifier: High Performance Explainable Deep Network for Document Image Classification
VGG	-	Efficient Document Image Classification Using Region-Based Graph Neural Network	-
Eff-GNN + Word2Vec [word2vec]	91	Efficient Document Image Classification Using Region-Based Graph Neural Network	-
Eff-GNN + Word2Vec [word2vec] + Image Embedding	77.5	Efficient Document Image Classification Using Region-Based Graph Neural Network	-
BERT [BERT]	79	Efficient Document Image Classification Using Region-Based Graph Neural Network	-
DocBERT [DOCBERT]	82.3	Efficient Document Image Classification Using Region-Based Graph Neural Network	-

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Document Image Classification On Tobacco 3482 | SOTA | HyperAI