الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Visual Entailment On Snli Ve Val

المقاييس

Accuracy

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Accuracy	Paper Title	Repository
CLIP-ViL	80.20	How Much Can CLIP Benefit Vision-and-Language Tasks?	-
EVE-ROI*	70.81	Visual Entailment: A Novel Task for Fine-Grained Image Understanding	-
OFA	91.0	OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework	-
SimVLM	86.21	SimVLM: Simple Visual Language Model Pretraining with Weak Supervision	-
UNITER	78.98	UNITER: UNiversal Image-TExt Representation Learning	-
Prompt Tuning	90.04	Prompt Tuning for Generative Multimodal Pretrained Models	-
VILLA-LARGE	80.18	Large-Scale Adversarial Training for Vision-and-Language Representation Learning	-
CoCa	87.0	CoCa: Contrastive Captioners are Image-Text Foundation Models	-
SOHO	85.00	Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning	-

0 of 9 row(s) selected.