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Dual Progressive Prototype Network for Generalized Zero-Shot Learning

arXiv 2111.02073 ↗First posted 3 Nov 2021cs.CVcited by 26

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Abstract (arXiv)

Generalized Zero-Shot Learning (GZSL) aims to recognize new categories with auxiliary semantic information,e.g., category attributes. In this paper, we handle the critical issue of domain shift problem, i.e., confusion between seen and unseen categories, by progressively improving cross-domain transferability and category discriminability of visual representations. Our approach, named Dual Progressive Prototype Network (DPPN), constructs two types of prototypes that record prototypical visual patterns for attributes and categories, respectively. With attribute prototypes, DPPN alternately searches attribute-related local regions and updates corresponding attribute prototypes to progressively explore accurate attribute-region correspondence. This enables DPPN to produce visual representations with accurate attribute localization ability, which benefits the semantic-visual alignment and representation transferability. Besides, along with progressive attribute localization, DPPN further projects category prototypes into multiple spaces to progressively repel visual representations from different categories, which boosts category discriminability. Both attribute and category prototypes are collaboratively learned in a unified framework, which makes visual representations of DPPN transferable and distinctive. Experiments on four benchmarks prove that DPPN effectively alleviates the domain shift problem in GZSL.

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). Builds on 35 of its 55 references that are in the map. First posted on arXiv 3 Nov 2021.

Builds on

35 of 55 references.

References · 35

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2013Zero-Shot Learning Through Cross-Modal Transfercited by 237
  4. 2016Learning Deep Representations of Fine-grained Visual Descriptionscited by 182
  5. 2014Evaluation of Output Embeddings for Fine-Grained Image Classificationcited by 166
  6. 2015Label-Embedding for Image Classificationcited by 164
  7. 2020Attribute Prototype Network for Zero-Shot Learningcited by 160
  8. 2016Learning a Deep Embedding Model for Zero-Shot Learningcited by 153
  9. 2016An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wildcited by 146
  10. 2017Semantic Autoencoder for Zero-Shot Learningcited by 133
  11. 2016Latent Embeddings for Zero-shot Classificationcited by 129
  12. 2016Synthesized Classifiers for Zero-Shot Learningcited by 113
23 more
  1. 2021Counterfactual Zero-Shot and Open-Set Visual Recognitioncited by 95
  2. 2021Contrastive Embedding for Generalized Zero-Shot Learningcited by 94
  3. 2020Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learningcited by 71
  4. 2021Goal-Oriented Gaze Estimation for Zero-Shot Learningcited by 68
  5. 2017Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Networkscited by 66
  6. 2019Episode-based Prototype Generating Network for Zero-Shot Learningcited by 66
  7. 2015Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptionscited by 64
  8. 2019Transferable Contrastive Network for Generalized Zero-Shot Learningcited by 64
  9. 2018Generative Dual Adversarial Network for Generalized Zero-shot Learningcited by 61
  10. 2020Invertible Zero-Shot Recognition Flowscited by 48
  11. 2015Ridge Regression, Hubness, and Zero-Shot Learningcited by 44
  12. 2019Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspectivecited by 42
  13. 2018Preserving Semantic Relations for Zero-Shot Learningcited by 35
  14. 2020A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learningcited by 34
  15. 2017A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learningcited by 28
  16. 2018Progressive Ensemble Networks for Zero-Shot Recognitioncited by 23
  17. 2016Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classificationcited by 22
  18. 2017Zero-Shot Recognition using Dual Visual-Semantic Mapping Pathscited by 20
  19. 2018Generalized Zero-Shot Recognition based on Visually Semantic Embeddingcited by 19
  20. 2021Isometric Propagation Network for Generalized Zero-shot Learningcited by 18
  21. 2018Zero-Shot Kernel Learningcited by 11
  22. 2019Domain-Specific Embedding Network for Zero-Shot Recognitioncited by 5
  23. 2018Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learningcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 4; 2023: 6; 2024: 9; 2025: 4; 2026: 3.

26 papers.

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  1. 2023Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learningcited by 24
  2. 2023Evolving Semantic Prototype Improves Generative Zero-Shot Learningcited by 20
  3. 2024Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learningcited by 16
  4. 2025Learning Clustering-based Prototypes for Compositional Zero-shot Learningcited by 13
  5. 2024Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospectscited by 12
  6. 2022Deconstructed Generation-Based Zero-Shot Modelcited by 6
  7. 2023Attribute-Aware Representation Rectification for Generalized Zero-Shot Learningcited by 6
  8. 2024On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Surveycited by 5
  9. 2024Dual Expert Distillation Network for Generalized Zero-Shot Learningcited by 4
  10. 2025Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learningcited by 4
  11. 2022Evolutionary Generalized Zero-Shot Learningcited by 3
  12. 2023An Integral Projection-based Semantic Autoencoder for Zero-Shot Learningcited by 3
14 more
  1. 2024PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learningcited by 3
  2. 2024ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learningcited by 2
  3. 2022PartCom: Part Composition Learning for 3D Open-Set Recognitioncited by 1
  4. 2024`Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learningcited by 1
  5. 2024Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learningcited by 1
  6. 2022Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learningcited by 0
  7. 2023Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Workcited by 0
  8. 2023Dual Feature Augmentation Network for Generalized Zero-shot Learningcited by 0
  9. 2024Dual Relation Mining Network for Zero-Shot Learningcited by 0
  10. 2025Semantically Guided Dynamic Visual Prototype Refinement for Compositional Zero-Shot Learningcited by 0
  11. 2025Prototype-Guided Curriculum Learning for Zero-Shot Learningcited by 0
  12. 2026Incentivizing Generative Zero-Shot Learning via Outcome-Reward Reinforcement Learning with Visual Cuescited by 0
  13. 2026CV-DCLR: Causal-Visual Dynamic Label Refinement for Robust Zero-Shot Learningcited by 0
  14. 2026SMETA-ZSL:Semantic Meta-Alignment for Zero-Shot Threat Classificationcited by 0