Search Results - "Geng, Chuanxing"

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  1. 1

    Collective Decision for Open Set Recognition by Geng, Chuanxing, Chen, Songcan

    “…In open set recognition (OSR), almost all existing methods are designed specially for recognizing individual instances, even these instances are collectively…”
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    Journal Article
  2. 2

    Multiplane Convex Proximal Support Vector Machine by Geng, Chuanxing, Chen, Songcan

    “…As an effective method for XOR problems, generalized eigenvalue proximal support vector machine (GEPSVM) recently has gained widespread attention accompanied…”
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    Journal Article
  3. 3

    Recent Advances in Open Set Recognition: A Survey by Geng, Chuanxing, Huang, Sheng-Jun, Chen, Songcan

    “…In real-world recognition/classification tasks, limited by various objective factors, it is usually difficult to collect training samples to exhaust all…”
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    Journal Article
  4. 4

    Metric Learning-Guided Least Squares Classifier Learning by Geng, Chuanxing, Chen, Songcan

    “…For a multicategory classification problem, discriminative least squares regression (DLSR) explicitly introduces an <inline-formula> <tex-math…”
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    Journal Article
  5. 5

    Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes by Geng, Chuanxing, Tao, Lue, Chen, Songcan

    Published in Pattern recognition (01-06-2020)
    “…•Decomposing G-ZSL task into an OSR task and a ZSL task while jointly.•training the models of these two tasks effectively addresses the CO problem which is…”
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    Journal Article
  6. 6

    Universum-inspired Supervised Contrastive Learning by Han, Aiyang, Geng, Chuanxing, Chen, Songcan

    Published in IEEE transactions on image processing (01-01-2023)
    “…As an effective data augmentation method, Mixup synthesizes an extra amount of samples through linear interpolations. Despite its theoretical dependency on…”
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    Journal Article
  7. 7
  8. 8

    Collective Decision for Open Set Recognition (Extended Abstract) by Geng, Chuanxing, Chen, Songcan

    “…In open set recognition (OSR), almost all existing methods are designed specially for recognizing individual instances, even these instances are collectively…”
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    Conference Proceeding
  9. 9

    Dynamic Learnable Logit Adjustment for Long-Tailed Visual Recognition by Zhang, Enhao, Geng, Chuanxing, Li, Chaohua, Chen, Songcan

    “…Logit adjustment is an effective long-tailed visual recognition strategy to encourage a significant margin between rare and dominant labels. Existing methods…”
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    Journal Article
  10. 10

    Convergence analysis of an accelerated expectation-maximization algorithm for ill-posed integral equations by Geng, Chuanxing, Wang, Jinping

    “…The maximum‐likelihood expectation‐maximization (EM) algorithm has attracted considerable interest in single‐photon emission computed tomography, because it…”
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    Journal Article
  11. 11

    Universum-inspired Supervised Contrastive Learning by Han, Aiyang, Geng, Chuanxing, Chen, Songcan

    Published 31-10-2023
    “…As an effective data augmentation method, Mixup synthesizes an extra amount of samples through linear interpolations. Despite its theoretical dependency on…”
    Get full text
    Journal Article
  12. 12

    Collective decision for open set recognition by Geng, Chuanxing, Chen, Songcan

    Published 21-03-2020
    “…In open set recognition (OSR), almost all existing methods are designed specially for recognizing individual instances, even these instances are collectively…”
    Get full text
    Journal Article
  13. 13

    All-around Neural Collapse for Imbalanced Classification by Zhang, Enhao, Li, Chaohua, Geng, Chuanxing, Chen, Songcan

    Published 13-08-2024
    “…Neural Collapse (NC) presents an elegant geometric structure that enables individual activations (features), class means and classifier (weights) vectors to…”
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    Journal Article
  14. 14

    Dynamic Against Dynamic: An Open-set Self-learning Framework by Yang, Haifeng, Geng, Chuanxing, Yuen, Pong C, Chen, Songcan

    Published 27-04-2024
    “…In open-set recognition, existing methods generally learn statically fixed decision boundaries using known classes to reject unknown classes. Though they have…”
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    Journal Article
  15. 15

    Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition by Zhang, Enhao, Geng, Chuanxing, Chen, Songcan

    Published 26-07-2022
    “…Data augmentation for minority classes is an effective strategy for long-tailed recognition, thus developing a large number of methods. Although these methods…”
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    Journal Article
  16. 16

    All Beings Are Equal in Open Set Recognition by Li, Chaohua, Zhang, Enhao, Geng, Chuanxing, Chen, SongCan

    Published 31-01-2024
    “…In open-set recognition (OSR), a promising strategy is exploiting pseudo-unknown data outside given $K$ known classes as an additional $K$+$1$-th class to…”
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    Journal Article
  17. 17

    View-labels Are Indispensable: A Multifacet Complementarity Study of Multi-view Clustering by Geng, Chuanxing, Han, Aiyang, Chen, Songcan

    Published 05-05-2022
    “…Consistency and complementarity are two key ingredients for boosting multi-view clustering (MVC). Recently with the introduction of popular contrastive…”
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    Journal Article
  18. 18

    Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning by Wang, Xinrui, Geng, Chuanxing, Wan, Wenhai, Li, Shao-yuan, Chen, Songcan

    Published 28-09-2024
    “…Online continual learning requires the models to learn from constant, endless streams of data. While significant efforts have been made in this field, most…”
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    Journal Article
  19. 19

    Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection by Li, Weikai, Geng, Chuanxing, Chen, Songcan

    Published 24-12-2020
    “…As the main workhorse for model selection, Cross Validation (CV) has achieved an empirical success due to its simplicity and intuitiveness. However, despite…”
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    Journal Article
  20. 20

    A Multi-view Perspective of Self-supervised Learning by Geng, Chuanxing, Tan, Zhenghao, Chen, Songcan

    Published 22-02-2020
    “…As a newly emerging unsupervised learning paradigm, self-supervised learning (SSL) recently gained widespread attention, which usually introduces a pretext…”
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    Journal Article