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Online Domain Adaptation

Online Adaptation aims to tackle multiple domain shifts, occurring unpredictably during deployment in real applications and without clear boundaries between them.

Papers

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Showing 1–14 of 14 papers

TitleStatusHype
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic SegmentationCode1
Online Domain Adaptation for Semantic Segmentation in Ever-Changing ConditionsCode1
Online Domain Adaptation for Occupancy MappingCode1
Online Domain Adaptation for Continuous Cross-Subject Liver Viability Evaluation Based on Irregular Thermal Data—0
Online Domain Adaptation for Multi-Object Tracking—0
X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real—0
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization—0
Kitting in the Wild through Online Domain Adaptation—0
Towards Robust Online Domain Adaptive Semantic Segmentation under Adverse Weather Conditions—0
Active Online Domain Adaptation—0
Similarity-based data mining for online domain adaptation of a sonar ATR system—0
Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images under Image Degradation—0
Automatic Online Multi-Source Domain AdaptationCode0
ATL: Autonomous Knowledge Transfer from Many Streaming ProcessesCode0
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