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Transferable Contrastive Network for Generalized Zero-Shot Learning

arXiv 1908.05832 ↗First posted 16 Aug 2019cs.CVcited by 64

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Abstract (arXiv)

Zero-shot learning (ZSL) is a challenging problem that aims to recognize the target categories without seen data, where semantic information is leveraged to transfer knowledge from some source classes. Although ZSL has made great progress in recent years, most existing approaches are easy to overfit the sources classes in generalized zero-shot learning (GZSL) task, which indicates that they learn little knowledge about target classes. To tackle such problem, we propose a novel Transferable Contrastive Network (TCN) that explicitly transfers knowledge from the source classes to the target classes. It automatically contrasts one image with different classes to judge whether they are consistent or not. By exploiting the class similarities to make knowledge transfer from source images to similar target classes, our approach is more robust to recognize the target images. Experiments on five benchmark datasets show the superiority of our approach for GZSL.

Key facts. Cited by 64 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Aug 2019.

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Citing papers per year: 2021: 23; 2022: 18; 2023: 10; 2024: 8; 2025: 5.

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  1. 2021Counterfactual Zero-Shot and Open-Set Visual Recognitioncited by 95
  2. 2021Contrastive Embedding for Generalized Zero-Shot Learningcited by 94
  3. 2021Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labelingcited by 84
  4. 2021Goal-Oriented Gaze Estimation for Zero-Shot Learningcited by 68
  5. 2021FREE: Feature Refinement for Generalized Zero-Shot Learningcited by 67
  6. 2021HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learningcited by 57
  7. 2021Semantics Disentangling for Generalized Zero-Shot Learningcited by 56
  8. 2022I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classificationcited by 54
  9. 2021TransZero: Attribute-guided Transformer for Zero-Shot Learningcited by 53
  10. 2023Improving Zero-Shot Generalization for CLIP with Synthesized Promptscited by 51
  11. 2023Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Languagecited by 44
  12. 2021A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectivescited by 41
38 more
  1. 2021Zero-Shot Learning on 3D Point Cloud Objects and Beyondcited by 38
  2. 2021TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learningcited by 28
  3. 2022I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classificationcited by 27
  4. 2021Dual Progressive Prototype Network for Generalized Zero-Shot Learningcited by 26
  5. 2023Zero-Shot Learning by Harnessing Adversarial Samplescited by 24
  6. 2022Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learningcited by 23
  7. 2021Fine-Grained Zero-Shot Learning with DNA as Side Informationcited by 20
  8. 2022Attribute Prototype Network for Any-Shot Learningcited by 19
  9. 2021Isometric Propagation Network for Generalized Zero-shot Learningcited by 18
  10. 2024AAPL: Adding Attributes to Prompt Learning for Vision-Language Modelscited by 14
  11. 2021Towards Novel Target Discovery Through Open-Set Domain Adaptationcited by 13
  12. 2021Mitigating Generation Shifts for Generalized Zero-Shot Learningcited by 13
  13. 2021Hardness Sampling for Self-Training Based Transductive Zero-Shot Learningcited by 12
  14. 2022GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learningcited by 12
  15. 2022Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesiscited by 11
  16. 2022A Survey on Visual Transfer Learning using Knowledge Graphscited by 7
  17. 2023Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learningcited by 7
  18. 2022How Robust are Discriminatively Trained Zero-Shot Learning Models?cited by 6
  19. 2022A Gating Model for Bias Calibration in Generalized Zero-shot Learningcited by 6
  20. 2022Deconstructed Generation-Based Zero-Shot Modelcited by 6
  21. 2022Lesion Guided Explainable Few Weak-shot Medical Report Generationcited by 6
  22. 2023Attribute-Aware Representation Rectification for Generalized Zero-Shot Learningcited by 6
  23. 2024Can Contrastive Learning Refine Embeddingscited by 5
  24. 2024On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Surveycited by 5
  25. 2022Semantically Grounded Visual Embeddings for Zero-Shot Learningcited by 4
  26. 2022Diversity-boosted Generalization-Specialization Balancing for Zero-shot Learningcited by 4
  27. 2024Dual Expert Distillation Network for Generalized Zero-Shot Learningcited by 4
  28. 2025Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learningcited by 4
  29. 2022An Iterative Co-Training Transductive Framework for Zero Shot Learningcited by 3
  30. 2023Adapt and Align to Improve Zero-Shot Sketch-Based Image Retrievalcited by 3
  31. 2025Distributed Zero-Shot Learning for Visual Recognitioncited by 3
  32. 2021Exploiting the relationship between visual and textual features in social networks for image classification with zero-shot deep learningcited by 2
  33. 2022HardBoost: Boosting Zero-Shot Learning with Hard Classescited by 2
  34. 2024Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Librariescited by 2
  35. 2025MADS: Multi-Attribute Document Supervision for Zero-Shot Image Classificationcited by 2
  36. 2021Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervisioncited by 1
  37. 2021Caption Generation on Scenes with Seen and Unseen Object Categoriescited by 1
  38. 2022Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detectorcited by 1

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