Domain Generalization on VLCS

Metric: Average Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Average Accuracy▼	Extra Data	Paper	Date↕	Code
1	CAR-FT (CLIP, ViT-B/16)	85.5	No	Context-Aware Robust Fine-Tuning	2022-11-29	-
2	UniDG + CORAL + ConvNeXt-B	84.5	No	Towards Unified and Effective Domain Generalizat...	2023-10-16	Code
3	SPG (CLIP, ResNet-50)	84	No	Soft Prompt Generation for Domain Generalization	2024-04-30	Code
4	VL2V-SD (CLIP, ViT-B/16)	83.25	No	Leveraging Vision-Language Models for Improving ...	2023-10-12	Code
5	MoA (OpenCLIP, ViT-B/16)	83.1	No	Domain Generalization Using Large Pretrained Mod...	2023-10-17	Code
6	D-Triplet(RegNetY-16GF)	82.9	No	Domain-aware Triplet loss in Domain Generalization	2023-03-01	Code
7	PromptStyler (CLIP, ViT-B/16)	82.9	No	PromptStyler: Prompt-driven Style Generation for...	2023-07-27	Code
8	SIMPLE+	82.7	No	-	-	Code
9	PromptStyler (CLIP, ViT-L/14)	82.4	No	PromptStyler: Prompt-driven Style Generation for...	2023-07-27	Code
10	GMDG (RegNetY-16GF)	82.4	No	Rethinking Multi-domain Generalization with A Ge...	2024-02-29	Code
11	SPG (CLIP, ViT-B/16)	82.4	No	Soft Prompt Generation for Domain Generalization	2024-04-30	Code
12	PromptStyler (CLIP, ResNet-50)	82.3	No	PromptStyler: Prompt-driven Style Generation for...	2023-07-27	Code
13	SEDGE+	82.2	No	Domain Generalization using Pretrained Models wi...	2022-03-09	-
14	CADG	82.2	No	CADG: A Model Based on Cross Attention for Domai...	2022-03-31	-
15	GMDG (RegNetY-16GF, SWAD)	82.2	No	Rethinking Multi-domain Generalization with A Ge...	2024-02-29	Code
16	MIRO (RegNetY-16GF, SWAD)	81.7	No	Domain Generalization by Mutual-Information Regu...	2022-03-21	Code
17	Ensemble of Averages (RegNetY-16GF)	81.1	No	Ensemble of Averages: Improving Model Selection ...	2021-10-21	Code
18	Ensemble of Averages (ResNeXt-50 32x4d)	80.4	No	Ensemble of Averages: Improving Model Selection ...	2021-10-21	Code
19	GMoE-S/16	80.2	No	Sparse Mixture-of-Experts are Domain Generalizab...	2022-06-08	Code
20	SIMPLE	79.9	No	-	-	Code
21	SEDGE	79.8	No	Domain Generalization using Pretrained Models wi...	2022-03-09	-
22	VNE (ResNet-50, SWAD)	79.7	No	VNE: An Effective Method for Improving Deep Repr...	2023-04-04	Code
23	AdaClust (ResNet-50, SWAD)	79.6	No	Adaptive Methods for Aggregated Domain Generaliz...	2021-12-09	Code
24	MIRO (ResNet-50, SWAD)	79.6	No	Domain Generalization by Mutual-Information Regu...	2022-03-21	Code
25	GMDG (ResNet-50, SWAD)	79.6	No	Rethinking Multi-domain Generalization with A Ge...	2024-02-29	Code
26	D-Triplet(Resnet-50)	79.3	No	Domain-aware Triplet loss in Domain Generalization	2023-03-01	Code
27	POEM	79.2	No	POEM: Polarization of Embeddings for Domain-Inva...	2023-05-22	Code
28	GMDG (ResNet-50)	79.2	No	Rethinking Multi-domain Generalization with A Ge...	2024-02-29	Code
29	SWAD (ResNet-50)	79.1	No	SWAD: Domain Generalization by Seeking Flat Minima	2021-02-17	Code
30	Ensemble of Averages (ResNet-50)	79.1	No	Ensemble of Averages: Improving Model Selection ...	2021-10-21	Code
31	DREAME	79.02	No	Automated Domain Discovery from Multiple Sources...	2021-12-17	Code
32	AdaClust (ResNet-50)	78.9	No	Adaptive Methods for Aggregated Domain Generaliz...	2021-12-09	Code
33	DADG (ResNet-18)	78.21	No	Discriminative Adversarial Domain Generalization...	2020-11-01	Code
34	Fishr (ResNet-50)	78.2	No	Fishr: Invariant Gradient Variances for Out-of-D...	2021-09-07	Code
35	StableNet (ResNet-18)	77.65	No	Deep Stable Learning for Out-Of-Distribution Gen...	2021-04-16	Code
36	RSC (AlexNet)	75.43	No	Self-Challenging Improves Cross-Domain Generaliz...	2020-07-05	Code
37	DADG (AlexNet)	74.46	No	Discriminative Adversarial Domain Generalization...	2020-11-01	Code

#1CAR-FT (CLIP, ViT-B/16)SOTA
85.5
Average Accuracy· 2022-11-29
Context-Aware Robust Fine-Tuning
#2UniDG + CORAL + ConvNeXt-B
84.5
Average Accuracy· 2023-10-16
Towards Unified and Effective Domain Generalization Code
#3SPG (CLIP, ResNet-50)
84
Average Accuracy· 2024-04-30
Soft Prompt Generation for Domain Generalization Code
#4VL2V-SD (CLIP, ViT-B/16)
83.25
Average Accuracy· 2023-10-12
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification Code
#5MoA (OpenCLIP, ViT-B/16)
83.1
Average Accuracy· 2023-10-17
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters Code
#6D-Triplet(RegNetY-16GF)
82.9
Average Accuracy· 2023-03-01
Domain-aware Triplet loss in Domain Generalization Code
#7PromptStyler (CLIP, ViT-B/16)
82.9
Average Accuracy· 2023-07-27
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization Code
#8SIMPLE+
82.7
Average Accuracy
No paperCode
#9PromptStyler (CLIP, ViT-L/14)
82.4
Average Accuracy· 2023-07-27
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization Code
#10GMDG (RegNetY-16GF)
82.4
Average Accuracy· 2024-02-29
Rethinking Multi-domain Generalization with A General Learning Objective Code
#11SPG (CLIP, ViT-B/16)
82.4
Average Accuracy· 2024-04-30
Soft Prompt Generation for Domain Generalization Code
#12PromptStyler (CLIP, ResNet-50)
82.3
Average Accuracy· 2023-07-27
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization Code
#13SEDGE+SOTA
82.2
Average Accuracy· 2022-03-09
Domain Generalization using Pretrained Models without Fine-tuning
#14CADG
82.2
Average Accuracy· 2022-03-31
CADG: A Model Based on Cross Attention for Domain Generalization
#15GMDG (RegNetY-16GF, SWAD)
82.2
Average Accuracy· 2024-02-29
Rethinking Multi-domain Generalization with A General Learning Objective Code
#16MIRO (RegNetY-16GF, SWAD)
81.7
Average Accuracy· 2022-03-21
Domain Generalization by Mutual-Information Regularization with Pre-trained Models Code
#17Ensemble of Averages (RegNetY-16GF)SOTA
81.1
Average Accuracy· 2021-10-21
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization Code
#18Ensemble of Averages (ResNeXt-50 32x4d)
80.4
Average Accuracy· 2021-10-21
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization Code
#19GMoE-S/16
80.2
Average Accuracy· 2022-06-08
Sparse Mixture-of-Experts are Domain Generalizable Learners Code
#20SIMPLE
79.9
Average Accuracy
No paperCode
#21SEDGE
79.8
Average Accuracy· 2022-03-09
Domain Generalization using Pretrained Models without Fine-tuning
#22VNE (ResNet-50, SWAD)
79.7
Average Accuracy· 2023-04-04
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Code
#23AdaClust (ResNet-50, SWAD)
79.6
Average Accuracy· 2021-12-09
Adaptive Methods for Aggregated Domain Generalization Code
#24MIRO (ResNet-50, SWAD)
79.6
Average Accuracy· 2022-03-21
Domain Generalization by Mutual-Information Regularization with Pre-trained Models Code
#25GMDG (ResNet-50, SWAD)
79.6
Average Accuracy· 2024-02-29
Rethinking Multi-domain Generalization with A General Learning Objective Code
#26D-Triplet(Resnet-50)
79.3
Average Accuracy· 2023-03-01
Domain-aware Triplet loss in Domain Generalization Code
#27POEM
79.2
Average Accuracy· 2023-05-22
POEM: Polarization of Embeddings for Domain-Invariant Representations Code
#28GMDG (ResNet-50)
79.2
Average Accuracy· 2024-02-29
Rethinking Multi-domain Generalization with A General Learning Objective Code
#29SWAD (ResNet-50)SOTA
79.1
Average Accuracy· 2021-02-17
SWAD: Domain Generalization by Seeking Flat Minima Code
#30Ensemble of Averages (ResNet-50)
79.1
Average Accuracy· 2021-10-21
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization Code
#31DREAME
79.02
Average Accuracy· 2021-12-17
Automated Domain Discovery from Multiple Sources to Improve Zero-Shot Generalization Code
#32AdaClust (ResNet-50)
78.9
Average Accuracy· 2021-12-09
Adaptive Methods for Aggregated Domain Generalization Code
#33DADG (ResNet-18)SOTA
78.21
Average Accuracy· 2020-11-01
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation Code
#34Fishr (ResNet-50)
78.2
Average Accuracy· 2021-09-07
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Code
#35StableNet (ResNet-18)
77.65
Average Accuracy· 2021-04-16
Deep Stable Learning for Out-Of-Distribution Generalization Code
#36RSC (AlexNet)SOTA
75.43
Average Accuracy· 2020-07-05
Self-Challenging Improves Cross-Domain Generalization Code
#37DADG (AlexNet)
74.46
Average Accuracy· 2020-11-01
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation Code