Domain Generalization on Office-Home

Metric: Average Accuracy (higher is better)

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#	Model↕	Average Accuracy▼	Extra Data	Paper	Date↕	Code
1	MoA (OpenCLIP, ViT-B/16)	90.6	No	Domain Generalization Using Large Pretrained Mod...	2023-10-17	Code
2	PromptStyler (CLIP, ViT-L/14)	89.1	No	PromptStyler: Prompt-driven Style Generation for...	2023-07-27	Code
3	UniDG + CORAL + ConvNeXt-B	88.9	No	Towards Unified and Effective Domain Generalizat...	2023-10-16	Code
4	SIMPLE+	87.7	No	-	-	Code
5	VL2V-SD (CLIP, ViT-B/16)	87.38	No	Leveraging Vision-Language Models for Improving ...	2023-10-12	Code
6	CAR-FT (CLIP, ViT-B/16)	85.7	No	Context-Aware Robust Fine-Tuning	2022-11-29	-
7	GMDG (RegNetY-16GF, SWAD)	84.7	No	Rethinking Multi-domain Generalization with A Ge...	2024-02-29	Code
8	SIMPLE	84.6	No	-	-	Code
9	Ensemble of Averages (RegNetY-16GF)	83.9	No	Ensemble of Averages: Improving Model Selection ...	2021-10-21	Code
10	PromptStyler (CLIP, ViT-B/16)	83.6	No	PromptStyler: Prompt-driven Style Generation for...	2023-07-27	Code
11	SPG (CLIP, ViT-B/16)	83.6	No	Soft Prompt Generation for Domain Generalization	2024-04-30	Code
12	MIRO (RegNetY-16GF, SWAD)	83.3	No	Domain Generalization by Mutual-Information Regu...	2022-03-21	Code
13	D-Triplet(RegNetY-16GF)	82.6	No	Domain-aware Triplet loss in Domain Generalization	2023-03-01	Code
14	GMDG (RegNetY-16GF)	80.8	No	Rethinking Multi-domain Generalization with A Ge...	2024-02-29	Code
15	SEDGE+	80.7	No	Domain Generalization using Pretrained Models wi...	2022-03-09	-
16	Ensemble of Averages (ResNeXt-50 32x4d)	80.2	No	Ensemble of Averages: Improving Model Selection ...	2021-10-21	Code
17	SEDGE	79.9	No	Domain Generalization using Pretrained Models wi...	2022-03-09	-
18	CADG	79.9	No	CADG: A Model Based on Cross Attention for Domai...	2022-03-31	-
19	GMoE-S/16	74.2	No	Sparse Mixture-of-Experts are Domain Generalizab...	2022-06-08	Code
20	SPG (CLIP, ResNet-50)	73.8	No	Soft Prompt Generation for Domain Generalization	2024-04-30	Code
21	PromptStyler (CLIP, ResNet-50)	73.6	No	PromptStyler: Prompt-driven Style Generation for...	2023-07-27	Code
22	Model Ratatouille	73.5	No	Model Ratatouille: Recycling Diverse Models for ...	2022-12-20	Code
23	Ensemble of Averages (ResNet-50)	72.5	No	Ensemble of Averages: Improving Model Selection ...	2021-10-21	Code
24	GMDG (ResNet-50, SWAD)	72.5	No	Rethinking Multi-domain Generalization with A Ge...	2024-02-29	Code
25	MIRO (ResNet-50, SWAD)	72.4	No	Domain Generalization by Mutual-Information Regu...	2022-03-21	Code
26	DDG	72.31	No	Dynamic Domain Generalization	2022-05-27	Code
27	PCL (swad+resnet50)	71.6	No	-	-	Code
28	VNE (ResNet-50, SWAD)	71.1	No	VNE: An Effective Method for Improving Deep Repr...	2023-04-04	Code
29	GMDG (ResNet-50)	70.7	No	Rethinking Multi-domain Generalization with A Ge...	2024-02-29	Code
30	SWAD (ResNet-50)	70.6	No	SWAD: Domain Generalization by Seeking Flat Minima	2021-02-17	Code
31	WAKD (DeiT-Ti)	70.5	No	Weight Averaging Improves Knowledge Distillation...	2023-09-20	Code
32	D-Triplet(Resnet-50)	70.3	No	Domain-aware Triplet loss in Domain Generalization	2023-03-01	Code
33	DREAME	69.76	No	Automated Domain Discovery from Multiple Sources...	2021-12-17	Code
34	AdaClust (ResNet-50, SWAD)	69.4	No	Adaptive Methods for Aggregated Domain Generaliz...	2021-12-09	Code
35	Fishr (ResNet-50)	68.2	No	Fishr: Invariant Gradient Variances for Out-of-D...	2021-09-07	Code
36	POEM	68	No	POEM: Polarization of Embeddings for Domain-Inva...	2023-05-22	Code
37	AdaClust (ResNet-50)	67.7	No	Adaptive Methods for Aggregated Domain Generaliz...	2021-12-09	Code
38	XDED (ResNet-18)	67.4	No	-	-	Code
39	XDED (ResNet-18)	67.4	No	-	-	-
40	WAKD (Resnet-18)	66.7	No	Weight Averaging Improves Knowledge Distillation...	2023-09-20	Code
41	Jone et al. (ResNet-50)	66.2	No	Feature Stylization and Domain-aware Contrastive...	2021-08-19	Code
42	LRDG (ResNet-18)	65.75	No	Domain Generalization by Learning and Removing D...	2022-12-14	Code
43	RSC (ResNet18)	63.12	No	Self-Challenging Improves Cross-Domain Generaliz...	2020-07-05	Code
44	SagNet (ResNet-18)	62.34	No	Reducing Domain Gap by Reducing Style Bias	2019-10-25	Code
45	DADG (ResNet-18)	62.22	No	Discriminative Adversarial Domain Generalization...	2020-11-01	Code

#1MoA (OpenCLIP, ViT-B/16)SOTA
90.6
Average Accuracy· 2023-10-17
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters Code
#2PromptStyler (CLIP, ViT-L/14)SOTA
89.1
Average Accuracy· 2023-07-27
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization Code
#3UniDG + CORAL + ConvNeXt-B
88.9
Average Accuracy· 2023-10-16
Towards Unified and Effective Domain Generalization Code
#4SIMPLE+
87.7
Average Accuracy
No paperCode
#5VL2V-SD (CLIP, ViT-B/16)
87.38
Average Accuracy· 2023-10-12
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification Code
#6CAR-FT (CLIP, ViT-B/16)SOTA
85.7
Average Accuracy· 2022-11-29
Context-Aware Robust Fine-Tuning
#7GMDG (RegNetY-16GF, SWAD)
84.7
Average Accuracy· 2024-02-29
Rethinking Multi-domain Generalization with A General Learning Objective Code
#8SIMPLE
84.6
Average Accuracy
No paperCode
#9Ensemble of Averages (RegNetY-16GF)SOTA
83.9
Average Accuracy· 2021-10-21
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization Code
#10PromptStyler (CLIP, ViT-B/16)
83.6
Average Accuracy· 2023-07-27
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization Code
#11SPG (CLIP, ViT-B/16)
83.6
Average Accuracy· 2024-04-30
Soft Prompt Generation for Domain Generalization Code
#12MIRO (RegNetY-16GF, SWAD)
83.3
Average Accuracy· 2022-03-21
Domain Generalization by Mutual-Information Regularization with Pre-trained Models Code
#13D-Triplet(RegNetY-16GF)
82.6
Average Accuracy· 2023-03-01
Domain-aware Triplet loss in Domain Generalization Code
#14GMDG (RegNetY-16GF)
80.8
Average Accuracy· 2024-02-29
Rethinking Multi-domain Generalization with A General Learning Objective Code
#15SEDGE+
80.7
Average Accuracy· 2022-03-09
Domain Generalization using Pretrained Models without Fine-tuning
#16Ensemble of Averages (ResNeXt-50 32x4d)
80.2
Average Accuracy· 2021-10-21
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization Code
#17SEDGE
79.9
Average Accuracy· 2022-03-09
Domain Generalization using Pretrained Models without Fine-tuning
#18CADG
79.9
Average Accuracy· 2022-03-31
CADG: A Model Based on Cross Attention for Domain Generalization
#19GMoE-S/16
74.2
Average Accuracy· 2022-06-08
Sparse Mixture-of-Experts are Domain Generalizable Learners Code
#20SPG (CLIP, ResNet-50)
73.8
Average Accuracy· 2024-04-30
Soft Prompt Generation for Domain Generalization Code
#21PromptStyler (CLIP, ResNet-50)
73.6
Average Accuracy· 2023-07-27
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization Code
#22Model Ratatouille
73.5
Average Accuracy· 2022-12-20
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization Code
#23Ensemble of Averages (ResNet-50)
72.5
Average Accuracy· 2021-10-21
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization Code
#24GMDG (ResNet-50, SWAD)
72.5
Average Accuracy· 2024-02-29
Rethinking Multi-domain Generalization with A General Learning Objective Code
#25MIRO (ResNet-50, SWAD)
72.4
Average Accuracy· 2022-03-21
Domain Generalization by Mutual-Information Regularization with Pre-trained Models Code
#26DDG
72.31
Average Accuracy· 2022-05-27
Dynamic Domain Generalization Code
#27PCL (swad+resnet50)
71.6
Average Accuracy
No paperCode
#28VNE (ResNet-50, SWAD)
71.1
Average Accuracy· 2023-04-04
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Code
#29GMDG (ResNet-50)
70.7
Average Accuracy· 2024-02-29
Rethinking Multi-domain Generalization with A General Learning Objective Code
#30SWAD (ResNet-50)SOTA
70.6
Average Accuracy· 2021-02-17
SWAD: Domain Generalization by Seeking Flat Minima Code
#31WAKD (DeiT-Ti)
70.5
Average Accuracy· 2023-09-20
Weight Averaging Improves Knowledge Distillation under Domain Shift Code
#32D-Triplet(Resnet-50)
70.3
Average Accuracy· 2023-03-01
Domain-aware Triplet loss in Domain Generalization Code
#33DREAME
69.76
Average Accuracy· 2021-12-17
Automated Domain Discovery from Multiple Sources to Improve Zero-Shot Generalization Code
#34AdaClust (ResNet-50, SWAD)
69.4
Average Accuracy· 2021-12-09
Adaptive Methods for Aggregated Domain Generalization Code
#35Fishr (ResNet-50)
68.2
Average Accuracy· 2021-09-07
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Code
#36POEM
68
Average Accuracy· 2023-05-22
POEM: Polarization of Embeddings for Domain-Invariant Representations Code
#37AdaClust (ResNet-50)
67.7
Average Accuracy· 2021-12-09
Adaptive Methods for Aggregated Domain Generalization Code
#38XDED (ResNet-18)
67.4
Average Accuracy
No paperCode
#39XDED (ResNet-18)
67.4
Average Accuracy
No paper
#40WAKD (Resnet-18)
66.7
Average Accuracy· 2023-09-20
Weight Averaging Improves Knowledge Distillation under Domain Shift Code
#41Jone et al. (ResNet-50)
66.2
Average Accuracy· 2021-08-19
Feature Stylization and Domain-aware Contrastive Learning for Domain Generalization Code
#42LRDG (ResNet-18)
65.75
Average Accuracy· 2022-12-14
Domain Generalization by Learning and Removing Domain-specific Features Code
#43RSC (ResNet18)SOTA
63.12
Average Accuracy· 2020-07-05
Self-Challenging Improves Cross-Domain Generalization Code
#44SagNet (ResNet-18)SOTA
62.34
Average Accuracy· 2019-10-25
Reducing Domain Gap by Reducing Style Bias Code
#45DADG (ResNet-18)
62.22
Average Accuracy· 2020-11-01
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation Code