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SOTA
视觉蕴含
Visual Entailment On Snli Ve Test
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
Columns
模型名称
Accuracy
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