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Keyword

domain generalization

Description: Domain generalization is a machine-learning approach that trains models to perform well on previously unseen data domains.
OpenAlex ID: keywords/domain-generalization
You Only Look Once: Unified, Real-Time Object Detection
2016 · Joseph Redmon, Santosh Divvala, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 52,999
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Lexicon-Based Methods for Sentiment Analysis
2011 · Maite Taboada, Julian Brooke, et al. · Computational Linguistics · 3,296
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Learning to Prompt for Vision-Language Models
2022 · Kaiyang Zhou, Jingkang Yang, et al. · International Journal of Computer Vision · 3,256
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Person Transfer GAN to Bridge Domain Gap for Person Re-identification
2018 · Longhui Wei, Shiliang Zhang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2,113
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Conditional Prompt Learning for Vision-Language Models
2022 · Kaiyang Zhou, Jingkang Yang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,863
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Learning to Adapt Structured Output Space for Semantic Segmentation
2018 · Yi-Hsuan Tsai, Wei-Chih Hung, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,747
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A Closer Look at Few-shot Classification
2019 · Chen, Wei-Yu, Liu, Yen-Cheng, et al. · arXiv (Cornell University) · 1,381
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Learning to Generalize: Meta-Learning for Domain Generalization
2018 · Da Li, Yongxin Yang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1,308
Deeper, Broader and Artier Domain Generalization
2017 · Da Li, Yongxin Yang, et al. · IEEE International Conference on Computer Vision (ICCV) · 1,283
Domain Generalization with Adversarial Feature Learning
2018 · Haoliang Li, Sinno Jialin Pan, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,257
Domain Generalization: A Survey
2022 · Kaiyang Zhou, Ziwei Liu, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,195
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Generalizing to Unseen Domains: A Survey on Domain Generalization
2022 · Jindong Wang, Cuiling Lan, et al. · IEEE Transactions on Knowledge and Data Engineering · 1,035
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
2018 · Tao Yu, Rui Zhang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1,017
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Development of Numerical Estimation in Young Children
2004 · Robert S Siegler, Julie L Booth · Child Development · 1,011
Deep Forest: Towards An Alternative to Deep Neural Networks
2017 · Zhi-Hua Zhou, Ji Feng · International Joint Conference on Artificial Intelligence · 970
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Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
2018 · Xingang Pan, Ping Luo, et al. · Lecture notes in computer science · 942
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GoEmotions: A Dataset of Fine-Grained Emotions
2020 · Dorottya Demszky, Dana Movshovitz-Attias, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 863
Domain Generalization by Solving Jigsaw Puzzles
2019 · Fabio M. Carlucci, Antonio D'Innocente, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 849
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Unified Deep Supervised Domain Adaptation and Generalization
2017 · Saeid Motiian, Marco Piccirilli, et al. · IEEE International Conference on Computer Vision (ICCV) · 841
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Domain Generalization via Invariant Feature Representation
2013 · Muandet, Krikamol, Balduzzi, David, et al. · arXiv (Cornell University) · 771
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Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?
2015 · Otavio A. B. Penatti, Keiller Nogueira, et al. · IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 730
A Brief Review of Domain Adaptation
2021 · Abolfazl Farahani, Sahar Voghoei, et al. · Transactions on computational science and computational intelligence · 676
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Domain Generalization for Object Recognition with Multi-task Autoencoders
2015 · Muhammad Ghifary, W. Bastiaan Kleijn, et al. · IEEE International Conference on Computer Vision (ICCV) · 664
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PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
2020 · Saining Xie, Jiatao Gu, et al. · Lecture notes in computer science · 652
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SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
2023 · Benjamin Billot, Douglas N. Greve, et al. · Medical Image Analysis · 647
Works count: 12,720
Citation count: 217,400
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