HyperAI超神经
首页
资讯
最新论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
中文
HyperAI超神经
Toggle sidebar
全站搜索…
⌘
K
首页
SOTA
Domain Generalization
Domain Generalization On Domainnet
Domain Generalization On Domainnet
评估指标
Average 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
Average Accuracy
Paper Title
Repository
SWAD (ResNet-50)
46.5
SWAD: Domain Generalization by Seeking Flat Minima
MIRO (RegNetY-16GF, SWAD)
60.7
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
PromptStyler (CLIP, ViT-L/14)
65.5
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
GMDG (RegNetY-16GF, SWAD)
61.3
Rethinking Multi-domain Generalization with A General Learning Objective
Hybrid-SF-MoE
52.0
Sparse Mixture-of-Experts are Domain Generalizable Learners
-
Meta-DMoE (ResNet-50)
44.2
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
CADG
51.6
CADG: A Model Based on Cross Attention for Domain Generalization
-
SPG (CLIP, ViT-B/16)
60.1
Soft Prompt Generation for Domain Generalization
GMDG (RegNetY-16GF)
54.6
Rethinking Multi-domain Generalization with A General Learning Objective
DMG (ResNet-50)
43.63
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
VL2V-SD (CLIP, ViT-B/16)
62.79
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
SPG (CLIP, ResNet-50)
50.1
Soft Prompt Generation for Domain Generalization
GMDG (ResNet-50, SWAD)
47.3
Rethinking Multi-domain Generalization with A General Learning Objective
SIMPLE+
61.9
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
SEDGE+
54.7
Domain Generalization using Pretrained Models without Fine-tuning
-
SIMPLE
49.2
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
Ensemble of Averages (RegNetY-16GF)
60.9
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
DDG
46.93
Dynamic Domain Generalization
Ensemble of Averages (ResNet-50)
47.4
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
MetaReg (ResNet-50)
43.62
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
0 of 36 row(s) selected.
Previous
Next