HyperAIHyperAI超神经
首页资讯最新论文教程数据集百科SOTALLM 模型天梯GPU 天梯顶会
全站搜索
关于
HyperAIHyperAI超神经

Zero Shot Transfer Image Classification On 3

评估指标

Accuracy (Private)
Accuracy (Public)

评测结果

各个模型在此基准测试上的表现结果

模型名称
Accuracy (Private)
Accuracy (Public)
Paper TitleRepository
LiT-tuning78.7 66.6LiT: Zero-Shot Transfer with Locked-image text Tuning-
InternVL-C77.3-InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks-
PaLI64.46-PaLI: A Jointly-Scaled Multilingual Language-Image Model-
CoCa80.7-CoCa: Contrastive Captioners are Image-Text Foundation Models-
AltCLIP68.1-AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities-
LiT ViT-e80.6-PaLI: A Jointly-Scaled Multilingual Language-Image Model-
ALIGN 70.1-Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision-
EVA-CLIP-E/14+75.7-EVA-CLIP: Improved Training Techniques for CLIP at Scale-
BASIC (Lion)81.2---
EVA-CLIP-18B77.9-EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters-
LiT-22B80.9-Scaling Vision Transformers to 22 Billion Parameters-
BASIC80.6-Combined Scaling for Zero-shot Transfer Learning-
CLIP70.1-Learning Transferable Visual Models From Natural Language Supervision-
0 of 13 row(s) selected.
Zero Shot Transfer Image Classification On 3 | SOTA | HyperAI超神经