https://github.com/osmanberke/sfda-ssvep-bci
공식 코드Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.
Further readings:
<span style="color:grey; opacity: 0.6">( Image credit: Unsupervised Image-to-Image Translation Networks )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces
Invariant Representation Learning for Infant Pose Estimation with Small Data
A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines
InfAnFace: Bridging the infant-adult domain gap in facial landmark estimation in the wild
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations
COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain Adaptation
Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation
Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Interpretable bilinear attention network with domain adaptation improves drug-target prediction
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration
Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning
Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction
Domain Generalization for Person Re-identification: A Survey Towards Domain-Agnostic Person Matching
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection
Domain Generalization with Fourier Transform and Soft Thresholding
Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation
Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.