Papers Cross-Domain Activity Recognition
“Cross-Domain Activity Recognition” 태그가 달린 논문 6편 · 필터 해제
CSI-Based Cross-Domain Activity Recognition via Zero-Shot Prototypical Networks
The cross-domain capability of wireless sensing is currently one of the major challenges on human activity recognition (HAR) based on the channel state information (CSI) of wireless signals. The difficulty of labeling sa…
Activity RecognitionCross-Domain Activity RecognitionHuman Activity RecognitionZero-Shot LearningModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization
Modality selection is an important step when designing multimodal systems, especially in the case of cross-domain activity recognition as certain modalities are more robust to domain shift than others. However, selecting…
Activity RecognitionCross-Domain Activity RecognitionDomain AdaptationDomain GeneralizationSemantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition
It is expensive and time-consuming to collect sufficient labeled data to build human activity recognition (HAR) models. Training on existing data often makes the model biased towards the distribution of the training data…
Activity RecognitionCross-Domain Activity RecognitionDomain AdaptationHuman Activity Recognition+1Cross-domain Activity Recognition via Substructural Optimal Transport
It is expensive and time-consuming to collect sufficient labeled data for human activity recognition (HAR). Domain adaptation is a promising approach for cross-domain activity recognition. Existing methods mainly focus o…
Activity RecognitionClusteringCross-Domain Activity RecognitionDomain Adaptation+2Deep Transfer Learning for Cross-domain Activity Recognition
Human activity recognition plays an important role in people's daily life. However, it is often expensive and time-consuming to acquire sufficient labeled activity data. To solve this problem, transfer learning leverages…
Activity RecognitionCross-Domain Activity RecognitionHuman Activity RecognitionTransfer LearningStratified Transfer Learning for Cross-domain Activity Recognition
In activity recognition, it is often expensive and time-consuming to acquire sufficient activity labels. To solve this problem, transfer learning leverages the labeled samples from the source domain to annotate the targe…
Activity RecognitionCross-Domain Activity RecognitionGeneral ClassificationTransfer Learning