الرئيسية الأخبار أحدث 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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Visual Reasoning On Nlvr2 Test | SOTA | HyperAI