HyperAI초신경
홈
뉴스
최신 연구 논문
튜토리얼
데이터셋
백과사전
SOTA
LLM 모델
GPU 랭킹
컨퍼런스
전체 검색
소개
한국어
HyperAI초신경
Toggle sidebar
전체 사이트 검색...
⌘
K
홈
SOTA
Domain Adaptation
Domain Adaptation On Visda2017
Domain Adaptation On Visda2017
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Accuracy
Paper Title
Repository
CDAN
73.7
Conditional Adversarial Domain Adaptation
CRST
78.1
Confidence Regularized Self-Training
CAN
87.2
Contrastive Adaptation Network for Unsupervised Domain Adaptation
MCC+NWD
83.7
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
SWG
92.7
Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance
PMtrans
88.8
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
-
FixBi
87.2
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
SENTRY (ResNet50)
76.7
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
JAN
58.3
Deep Transfer Learning with Joint Adaptation Networks
SFDA2++
89.6
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
CPGA
86.0
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
Mean teacher
85.4
Self-ensembling for visual domain adaptation
DeepJDOT
66.9
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
CoVi
88.5
Contrastive Vicinal Space for Unsupervised Domain Adaptation
DePT
90.7
Visual Prompt Tuning for Test-time Domain Adaptation
-
CDTrans
88.4
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
SFDA2
88.1
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
dSNE
86.15
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
MIC
92.8
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
RCL
93.2
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning
0 of 28 row(s) selected.
Previous
Next