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2203
Domain adaptation, Incremental learning,
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IEEE DOI
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Open-Set Domain Adaptation Under Few Source-Domain Labeled Samples,
L3D-IVU22(4028-4037)
IEEE DOI
2210
Measurement, Visualization, Satellites, Benchmark testing,
Optical imaging, Adversarial machine learning, Data models
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Rakshit, S.[Sayan],
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2011
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IEEE DOI
2312
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IEEE DOI
2402
Estimation, Prototypes, Adaptation models, Target recognition,
Feature extraction, Entropy, Humanities, Transfer learning,
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ECCV22(XXXIV:1-18).
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2211
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Zheng, J.P.[Jue-Peng],
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Chen, M.X.[Meng-Xuan],
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PandRS(208), 2024, pp. 245-260.
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2402
Scene classification, Multi-adversarial learning,
Remote sensing, Open-set domain adaptation, Negative transfer effect
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2405
Open-set domain adaptation, Adversarial learning, Multi-classifiers
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Self-Labeling Framework for Open-Set Domain Adaptation With Few
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IEEE DOI
2402
Task analysis, Mutual information, Prototypes, Annotations, Training,
Target recognition, Self-supervised learning, open-set recognition
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2402
Open-set domain adaptation, Transfer learning,
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Enhancing Multi-Source Open-Set Domain Adaptation Through Nearest
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2404
Transformers, Adaptation models, Benchmark testing, Training,
Task analysis, Visualization, Semantics
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Picture archiving and communication systems, Training, Task analysis,
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Universal domain adaptation, Deep transfer learning, Uncertainty measure
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2211
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Open-World Multi-Task Control Through Goal-Aware Representation
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CVPR23(13734-13744)
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2309
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ICCV23(11530-11539)
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WWW Link.
2401
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Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition,
CVPR22(7161-7170)
IEEE DOI
2210
Training, Correlation, Semantics, Prototypes, Generators,
Pattern recognition, Transfer/low-shot/long-tail learning,
Self- semi- meta- unsupervised learning
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Bucci, S.[Silvia],
Borlino, F.C.[Francesco Cappio],
Caputo, B.[Barbara],
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Distance-based Hyperspherical Classification for Multi-source
Open-Set Domain Adaptation,
WACV22(1030-1039)
IEEE DOI
2202
Training, Adaptation models, Codes, Machine vision,
Predictive models, Benchmark testing, Transfer, Few-shot,
Semi- and Un- supervised Learning Object Detection/Recognition/Categorization
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Kishida, I.[Ikki],
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Baba, M.[Masaki],
Jin, J.[Jiren],
Amma, A.[Ayako],
Nakayama, H.[Hideki],
Object Recognition with Continual Open Set Domain Adaptation for Home
Robot,
WACV21(1516-1525)
IEEE DOI
2106
Training, Learning systems,
Object detection, Detectors, Search problems
BibRef
He, X.X.[Xin-Xing],
Yuan, Y.[Yuan],
Jiang, Z.Y.[Zhi-Yu],
Open Set Domain Recognition via Attention-Based GCN and Semantic
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ICPR21(4626-4633)
IEEE DOI
2105
Training, Limiting, Image recognition, Target recognition, Semantics,
Training data, Network architecture, open set domain recognition,
semantic matching
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Fu, B.[Bo],
Cao, Z.J.[Zhang-Jie],
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Springer DOI
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Liu, Z.,
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Pan, X.,
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Lin, D.,
Yu, S.X.,
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Open Compound Domain Adaptation,
CVPR20(12403-12412)
IEEE DOI
2008
Compounds, Memory modules, Adaptation models, Feature extraction,
Meteorology, Training, Data models
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Multi-Source Domain Adaptation .