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Unsupervised Domain Adaptation
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Unsupervised Domain Adaptation is a learning framework to transfer knowledge learned from source domains with a large number of annotated training examples to target domains with unlabeled data only.
Source: Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation
Prmpt2Adpt: Prompt-Based Zero-Shot Domain Adaptation for Resource-Constrained Environments
MUDAS: Mote-scale Unsupervised Domain Adaptation in Multi-label Sound Classification
Customizing Speech Recognition Model with Large Language Model Feedback
Diffusion Domain Teacher: Diffusion Guided Domain Adaptive Object Detector
Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation
MSDA: Combining Pseudo-labeling and Self-Supervision for Unsupervised Domain Adaptation in ASR
Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI
MaskAdapt: Unsupervised Geometry-Aware Domain Adaptation Using Multimodal Contextual Learning and RGB-Depth Masking
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition
BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural Change
seg_3D_by_PC2D: Multi-View Projection for Domain Generalization and Adaptation in 3D Semantic Segmentation
EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation
Domain Adaptation for Multi-label Image Classification: a Discriminator-free Approach
Towards Open-world Generalized Deepfake Detection: General Feature Extraction via Unsupervised Domain Adaptation
Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation
DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation
TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
Noise Optimized Conditional Diffusion for Domain Adaptation
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation
Depth-Sensitive Soft Suppression with RGB-D Inter-Modal Stylization Flow for Domain Generalization Semantic Segmentation
Concept-Based Unsupervised Domain Adaptation
3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation
CMD: Constraining Multimodal Distribution for Domain Adaptation in Stereo Matching
What is the Added Value of UDA in the VFM Era?
Transferable Deployment of Semantic Edge Inference Systems via Unsupervised Domain Adaption
Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation
RT-DATR:Real-time Unsupervised Domain Adaptive Detection Transformer with Adversarial Feature Learning
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification
Sliced Wasserstein Discrepancy in Disentangling Representation and Adaptation Networks for Unsupervised Domain Adaptation
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks
Overlap-Aware Feature Learning for Robust Unsupervised Domain Adaptation for 3D Semantic Segmentation
Joint Source-Environment Adaptation for Deep Learning-Based Underwater Acoustic Source Ranging
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