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아카이브 평가 40건 · 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
FFTAT	Average Accuracy 96.0	Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation 2024-11-10	코드 1 · 코드 2
PMTrans	Average Accuracy 95.3	Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective 2023-03-23	연결 없음
CMKD	Average Accuracy 94.4	Unsupervised Domain Adaption Harnessing Vision-Language Pre-training 2024-04-19	코드 1
SSRT-B (ours)	Average Accuracy 93.5	Safe Self-Refinement for Transformer-based Domain Adaptation 2022-04-16	코드 1
CDTrans	Average Accuracy 92.6	CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation 2021-09-13	코드 1 · 코드 2
CoVi	Average Accuracy 91.8	Contrastive Vicinal Space for Unsupervised Domain Adaptation 2021-11-26	코드 1
GSDE	Average Accuracy 91.7	Gradual Source Domain Expansion for Unsupervised Domain Adaptation 2023-11-16	코드 1
FixBi	Average Accuracy 91.4	FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation 2020-11-18	코드 1
Contrastive Adaptation Network	Average Accuracy 90.6	Contrastive Adaptation Network for Unsupervised Domain Adaptation 2019-01-04	코드 1 · 코드 2
BIWAA	Average Accuracy 90.5	Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment 2023-01-01	코드 1
DALN	Average Accuracy 90.4	Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation 2022-04-08	코드 1
ELS	Average Accuracy 90.4	Free Lunch for Domain Adversarial Training: Environment Label Smoothing 2023-02-01	코드 1
dSNE	Average Accuracy 90.01	d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding 2019-06-01	코드 1
ASAN	Average Accuracy 90.0	Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks 2021-02-25	코드 1
CPGA	Average Accuracy 89.9	Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation 2021-06-18	코드 1
SFDA2	Average Accuracy 89.9	SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation 2024-03-16	코드 1
MDAIR	Average Accuracy 89.8	Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet 2019-04-04	코드 1 · 코드 2
SPL	Average Accuracy 89.6	Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling 2019-11-18	코드 1
CADA-P	Average Accuracy 89.5	Attending to Discriminative Certainty for Domain Adaptation 2019-06-08	코드 1
MEDM	Average Accuracy 89.2	Entropy Minimization vs. Diversity Maximization for Domain Adaptation 2020-02-05	코드 1
DADA	Average Accuracy 89	Discriminative Adversarial Domain Adaptation 2019-11-27	코드 1 · 코드 2
SHOT	Average Accuracy 88.6	Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation 2020-02-20	코드 1 · 코드 2 · 코드 3
DADA	Average Accuracy 88	Dual Adversarial Domain Adaptation 2020-01-01	코드 1
GLOT-DR	Average Accuracy 87.8	Global-Local Regularization Via Distributional Robustness 2022-03-01	코드 1
IAFN+ENT	Average Accuracy 87.1	Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation 2018-11-19	코드 1 · 코드 2 · 코드 3
MRKLD + LRENT	Average Accuracy 86.8	Confidence Regularized Self-Training 2019-08-26	코드 1 · 코드 2
GTA	Average Accuracy 86.5	Generate To Adapt: Aligning Domains using Generative Adversarial Networks 2017-04-06	코드 1
MEDA (ResNet50)	Average Accuracy 85.7	Transfer Learning with Dynamic Distribution Adaptation 2019-09-17	코드 1
DAOD	Average Accuracy 85.4	Open Set Domain Adaptation: Theoretical Bound and Algorithm 2019-07-19	코드 1
MADA	Average Accuracy 85.2	Multi-Adversarial Domain Adaptation 2018-09-04	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6