HyperAI超神经

首页算力平台文档资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

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HyperAI超神经

Visual Entailment On Snli Ve Test

评估指标

Accuracy

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
OFA	91.2	OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Prompt Tuning	90.12	Prompt Tuning for Generative Multimodal Pretrained Models
CoCa	87.1	CoCa: Contrastive Captioners are Image-Text Foundation Models
SimVLM	86.32	SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
SOHO	84.95	Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
MAD (Single Model, Formerly CLIP-TD)	80.32	Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks	-
UNITER (Large)	78.98	UNITER: UNiversal Image-TExt Representation Learning
EVE-ROI*	70.47	Visual Entailment: A Novel Task for Fine-Grained Image Understanding

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Visual Entailment On Snli Ve Test | SOTA | HyperAI超神经