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Domain Generalization for Activity Recognition via Adaptive Feature Fusion

https://doi.org/10.1145/3552434
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Self-challenging Improves Cross-Domain Generalization
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Deep CORAL: Correlation Alignment for Deep Domain Adaptation
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Transfer learning for activity recognition: a survey
inferredcites →https://doi.org/10.1016/j.neucom.2020.10.056openalex-snapshot
Cross-subject transfer learning in human activity recognition systems using generative adversarial networks
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Batch normalization embeddings for deep domain generalization
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An introduction to ROC analysis
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Deep learning for sensor-based activity recognition: A survey
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Unsupervised domain adaptation for activity recognition across heterogeneous datasets
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Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder
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Attention-Deficit Hyperactivity Disorder
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Recognizing Daily and Sports Activities in Two Open Source Machine Learning Environments Using Body-Worn Sensor Units
inferredcites →https://doi.org/10.1108/ijpcc-03-2014-0020openalex-snapshot
Heterogeneous transfer learning for activity recognition using heuristic search techniques
inferredcites →https://doi.org/10.1109/access.2018.2871349openalex-snapshot
Domain Specific Learning for Sentiment Classification and Activity Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.209openalex-snapshot
Going Deeper into First-Person Activity Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00233openalex-snapshot
Domain Generalization by Solving Jigsaw Puzzles
inferredcites →https://doi.org/10.1109/cvpr.2019.00258openalex-snapshot
DLOW: Domain Flow for Adaptation and Generalization
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01257openalex-snapshot
Learning to Learn Single Domain Generalization
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Domain Generalization for Object Recognition with Multi-task Autoencoders
inferredcites →https://doi.org/10.1109/icip.2018.8451318openalex-snapshot
Best Sources Forward: Domain Generalization through Source-Specific Nets
inferredcites →https://doi.org/10.1109/iswc.2012.13openalex-snapshot
Introducing a New Benchmarked Dataset for Activity Monitoring
inferredcites →https://doi.org/10.1109/jbhi.2018.2808281openalex-snapshot
Deep Learning for Fall Detection: Three-Dimensional CNN Combined With LSTM on Video Kinematic Data
inferredcites →https://doi.org/10.1109/percom.2018.8444572openalex-snapshot
Stratified Transfer Learning for Cross-domain Activity Recognition
inferredcites →https://doi.org/10.1109/percom.2018.8444585openalex-snapshot
Scaling Human Activity Recognition via Deep Learning-based Domain Adaptation
inferredcites →https://doi.org/10.1109/surv.2012.110112.00192openalex-snapshot
A Survey on Human Activity Recognition using Wearable Sensors
inferredcites →https://doi.org/10.1109/tits.2018.2868499openalex-snapshot
Driver Fatigue Detection Systems: A Review
inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot
A Survey on Transfer Learning
inferredcites →https://doi.org/10.1109/tkde.2022.3178128openalex-snapshot
Generalizing to Unseen Domains: A Survey on Domain Generalization
inferredcites →https://doi.org/10.1109/tmi.2020.3015224openalex-snapshot
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
inferredcites →https://doi.org/10.1109/tnnls.2014.2330900openalex-snapshot
Transfer Learning for Visual Categorization: A Survey
inferredcites →https://doi.org/10.1109/tpami.2017.2704624openalex-snapshot
Domain Generalization and Adaptation Using Low Rank Exemplar SVMs
inferredcites →https://doi.org/10.1109/tsmcc.2012.2198883openalex-snapshot
Sensor-Based Activity Recognition
inferredcites →https://doi.org/10.1145/2733373.2806333openalex-snapshot
Human Activity Recognition Using Wearable Sensors by Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1145/3090076openalex-snapshot
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
inferredcites →https://doi.org/10.1145/3313831.3376374openalex-snapshot
WeDA: Designing and Evaluating A Scale-driven Wearable Diagnostic Assessment System for Children with ADHD
inferredcites →https://doi.org/10.1145/3369818openalex-snapshot
Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning
inferredcites →https://doi.org/10.1145/3380985openalex-snapshot
A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition
inferredcites →https://doi.org/10.1145/3410530.3414367openalex-snapshot
ActivityGAN
inferredcites →https://doi.org/10.1145/3447744openalex-snapshot
Deep Learning for Sensor-based Human Activity Recognition
inferredcites →https://doi.org/10.1186/s40537-016-0043-6openalex-snapshot
A survey of transfer learning
inferredcites →https://doi.org/10.1609/aaai.v32i1.11596openalex-snapshot
Learning to Generalize: Meta-Learning for Domain Generalization
inferredcites →https://doi.org/10.1609/aaai.v34i07.6846openalex-snapshot
Domain Generalization Using a Mixture of Multiple Latent Domains
inferredcites →https://doi.org/10.21437/interspeech.2012-10openalex-snapshot
Application of pretrained deep neural networks to large vocabulary speech recognition
inferredcites →https://doi.org/10.24963/ijcai.2021/628openalex-snapshot
Generalizing to Unseen Domains: A Survey on Domain Generalization
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.48550/arxiv.1804.10745openalex-snapshot
Generalizing Across Domains via Cross-Gradient Training
inferredcites →https://doi.org/10.48550/arxiv.1911.00804openalex-snapshot
Generalizing to unseen domains via distribution matching
inferredcites →https://doi.org/10.48550/arxiv.2001.00677openalex-snapshot
Improve Unsupervised Domain Adaptation with Mixup Training
inferredcites →https://doi.org/10.48550/arxiv.2001.07416openalex-snapshot
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Cross-Person Human Activity Recognition Method Based on the HARG Model
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Multi feature fusion paper classification model based on attention mechanism
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Human Activity Recognition Using Spatio-Temporal Dual Attention with Cross-Sensor Attention
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Generalizable and Robust Beam Prediction for 6G Networks: An Deep-Learning Framework With Positioning Feature Fusion
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Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition
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Unbiased Semantic Representation Learning Based on Causal Disentanglement for Domain Generalization
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