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VLCS

아카이브 평가 37건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
CAR-FT (CLIP, ViT-B/16)	Average Accuracy 85.5	Context-Aware Robust Fine-Tuning 2022-11-29	연결 없음
UniDG + CORAL + ConvNeXt-B	Average Accuracy 84.5	Towards Unified and Effective Domain Generalization 2023-10-16	코드 1
SPG (CLIP, ResNet-50)	Average Accuracy 84.0	Soft Prompt Generation for Domain Generalization 2024-04-30	코드 1
VL2V-SD (CLIP, ViT-B/16)	Average Accuracy 83.25	Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification 2023-10-12	코드 1
MoA (OpenCLIP, ViT-B/16)	Average Accuracy 83.1	Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters 2023-10-17	코드 1
D-Triplet(RegNetY-16GF)	Average Accuracy 82.9	Domain-aware Triplet loss in Domain Generalization 2023-03-01	코드 1
PromptStyler (CLIP, ViT-B/16)	Average Accuracy 82.9	PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization 2023-07-27	코드 1
SIMPLE+	Average Accuracy 82.7	SIMPLE: Specialized Model-Sample Matching for Domain Generalization 2023-05-01	코드 1
PromptStyler (CLIP, ViT-L/14)	Average Accuracy 82.4	PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization 2023-07-27	코드 1
GMDG (RegNetY-16GF)	Average Accuracy 82.4	Rethinking Multi-domain Generalization with A General Learning Objective 2024-02-29	코드 1 · 코드 2
SPG (CLIP, ViT-B/16)	Average Accuracy 82.4	Soft Prompt Generation for Domain Generalization 2024-04-30	코드 1
PromptStyler (CLIP, ResNet-50)	Average Accuracy 82.3	PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization 2023-07-27	코드 1
SEDGE+	Average Accuracy 82.2	Domain Generalization using Pretrained Models without Fine-tuning 2022-03-09	연결 없음
CADG	Average Accuracy 82.2	CADG: A Model Based on Cross Attention for Domain Generalization 2022-03-31	연결 없음
GMDG (RegNetY-16GF, SWAD)	Average Accuracy 82.2	Rethinking Multi-domain Generalization with A General Learning Objective 2024-02-29	코드 1 · 코드 2
MIRO (RegNetY-16GF, SWAD)	Average Accuracy 81.7	Domain Generalization by Mutual-Information Regularization with Pre-trained Models 2022-03-21	코드 1
Ensemble of Averages (RegNetY-16GF)	Average Accuracy 81.1	Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization 2021-10-21	코드 1
Ensemble of Averages (ResNeXt-50 32x4d)	Average Accuracy 80.4	Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization 2021-10-21	코드 1
GMoE-S/16	Average Accuracy 80.2	Sparse Mixture-of-Experts are Domain Generalizable Learners 2022-06-08	코드 1 · 코드 2
SIMPLE	Average Accuracy 79.9	SIMPLE: Specialized Model-Sample Matching for Domain Generalization 2023-05-01	코드 1
SEDGE	Average Accuracy 79.8	Domain Generalization using Pretrained Models without Fine-tuning 2022-03-09	연결 없음
VNE (ResNet-50, SWAD)	Average Accuracy 79.7	VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution 2023-04-04	코드 1
AdaClust (ResNet-50, SWAD)	Average Accuracy 79.6	Adaptive Methods for Aggregated Domain Generalization 2021-12-09	코드 1
MIRO (ResNet-50, SWAD)	Average Accuracy 79.6	Domain Generalization by Mutual-Information Regularization with Pre-trained Models 2022-03-21	코드 1
GMDG (ResNet-50, SWAD)	Average Accuracy 79.6	Rethinking Multi-domain Generalization with A General Learning Objective 2024-02-29	코드 1 · 코드 2
D-Triplet(Resnet-50)	Average Accuracy 79.3	Domain-aware Triplet loss in Domain Generalization 2023-03-01	코드 1
POEM	Average Accuracy 79.2	POEM: Polarization of Embeddings for Domain-Invariant Representations 2023-05-22	코드 1
GMDG (ResNet-50)	Average Accuracy 79.2	Rethinking Multi-domain Generalization with A General Learning Objective 2024-02-29	코드 1 · 코드 2
SWAD (ResNet-50)	Average Accuracy 79.1	SWAD: Domain Generalization by Seeking Flat Minima 2021-02-17	코드 1 · 코드 2 · 코드 3 · 코드 4
Ensemble of Averages (ResNet-50)	Average Accuracy 79.1	Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization 2021-10-21	코드 1