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

العربية

Visual Reasoning On Nlvr2 Test

المقاييس

Accuracy

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Accuracy	Paper Title	Repository
CoCa	87.0	CoCa: Contrastive Captioners are Image-Text Foundation Models
UNITER (Large)	79.5	UNITER: UNiversal Image-TExt Representation Learning
SimVLM	85.15	SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
VLMo	86.86	VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
BLIP-129M	83.09	BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
X2-VLM (large)	89.4	X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks
X2-VLM (base)	87.0	X$^2$-VLM: All-In-One Pre-trained Model For Vision-Language Tasks
X-VLM (base)	84.76	Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
SOHO	77.32	Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
LXMERT	76.2	LXMERT: Learning Cross-Modality Encoder Representations from Transformers
ViLT-B/32	76.13	ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
ALBEF (14M)	82.55	Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
BEiT-3	92.58	Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks
XFM (base)	88.4	Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks

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