mlsanityData to 14 Oct 2026

Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects

arXiv 2401.17766 ↗First posted 31 Jan 2024cs.CVcited by 12

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Abstract (arXiv)

Recent zero-shot learning (ZSL) approaches have integrated fine-grained analysis, i.e., fine-grained ZSL, to mitigate the commonly known seen/unseen domain bias and misaligned visual-semantics mapping problems, and have made profound progress. Notably, this paradigm differs from existing close-set fine-grained methods and, therefore, can pose unique and nontrivial challenges. However, to the best of our knowledge, there remains a lack of systematic summaries of this topic. To enrich the literature of this domain and provide a sound basis for its future development, in this paper, we present a broad review of recent advances for fine-grained analysis in ZSL. Concretely, we first provide a taxonomy of existing methods and techniques with a thorough analysis of each category. Then, we summarize the benchmark, covering publicly available datasets, models, implementations, and some more details as a library. Last, we sketch out some related applications. In addition, we discuss vital challenges and suggest potential future directions.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 53 of its 96 references that are in the map. First posted on arXiv 31 Jan 2024.

Builds on

53 of 96 references.

References · 53

  1. 2017Attention Is All You Needcited by 60,361
  2. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,361
  3. 2017Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Uglycited by 538
  4. 2018Zero-Shot Object Detectioncited by 189
  5. 2020Attribute Prototype Network for Zero-Shot Learningcited by 160
  6. 2017A Generative Adversarial Approach for Zero-Shot Learning from Noisy Textscited by 96
  7. 2021Elaborative Rehearsal for Zero-shot Action Recognitioncited by 77
  8. 2021Goal-Oriented Gaze Estimation for Zero-Shot Learningcited by 68
  9. 2019Semantic-Guided Multi-Attention Localization for Zero-Shot Learningcited by 58
  10. 2021TransZero: Attribute-guided Transformer for Zero-Shot Learningcited by 54
  11. 2015Transductive Multi-view Zero-Shot Learningcited by 53
  12. 2022MSDN: Mutually Semantic Distillation Network for Zero-Shot Learningcited by 48
38 more
  1. 2017Link the head to the "beak": Zero Shot Learning from Noisy Text Description at Part Precisioncited by 46
  2. 2022Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learningcited by 37
  3. 2022DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learningcited by 33
  4. 2020A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansioncited by 31
  5. 2020Attribute Propagation Network for Graph Zero-shot Learningcited by 29
  6. 2023Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentationcited by 28
  7. 2023SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detectioncited by 28
  8. 2022VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learningcited by 27
  9. 2022I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classificationcited by 27
  10. 2021Dual Progressive Prototype Network for Generalized Zero-Shot Learningcited by 26
  11. 2018Discriminative Learning of Latent Features for Zero-Shot Recognitioncited by 24
  12. 2023Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learningcited by 24
  13. 2021Personalized Federated Learning with Contextualized Generalizationcited by 23
  14. 2022CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streamingcited by 23
  15. 2016Multi-Cue Zero-Shot Learning with Strong Supervisioncited by 22
  16. 2022Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attentioncited by 21
  17. 2022Hybrid Routing Transformer for Zero-Shot Learningcited by 20
  18. 2019AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learningcited by 19
  19. 2019Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognitioncited by 18
  20. 2019Position-Aware Convolutional Networks for Traffic Predictioncited by 18
  21. 2017Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagerycited by 17
  22. 2022Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruningcited by 17
  23. 2023Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learningcited by 17
  24. 2023DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learningcited by 17
  25. 2021Learning Robust Visual-semantic Mapping for Zero-shot Learningcited by 16
  26. 2022Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruningcited by 16
  27. 2019EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approachcited by 15
  28. 2023CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenariocited by 15
  29. 2023Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Modelscited by 15
  30. 2022Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Networkcited by 14
  31. 2023Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning--Technical Reportcited by 13
  32. 2023Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Modelscited by 10
  33. 2023MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognitioncited by 10
  34. 2023SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalizationcited by 9
  35. 2022Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representationscited by 8
  36. 2023GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learningcited by 8
  37. 2021Region Semantically Aligned Network for Zero-Shot Learningcited by 6
  38. 2023Attribute-Aware Representation Rectification for Generalized Zero-Shot Learningcited by 6

50 most cited of 53 All 53 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 5; 2025: 5; 2026: 2.

12 papers.

  1. 2024Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognitioncited by 19
  2. 2024Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognitioncited by 13
  3. 2025Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptationcited by 7
  4. 2025SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learningcited by 6
  5. 2024On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Surveycited by 5
  6. 2024Dual Expert Distillation Network for Generalized Zero-Shot Learningcited by 4
  7. 2025Distributed Zero-Shot Learning for Visual Recognitioncited by 3
  8. 2024PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learningcited by 2
  9. 2025Addressing Out-of-Label Hazard Detection in Dashcam Videos: Insights from the COOOL Challengecited by 2
  10. 2026Beyond Language: Grounding Referring Expressions with Hand Pointing in Egocentric Visioncited by 2
  11. 2025Fine-Grained Zero-Shot Learning with Attribute-Centric Representationscited by 0
  12. 2026PMCE: Probabilistic Multi-Granularity Semantics with Caption-Guided Enhancement for Few-Shot Learningcited by 0