mlsanityData to 14 Oct 2026

Feature Generating Networks for Zero-Shot Learning

arXiv 1712.00981 ↗First posted 4 Dec 2017cs.CVcited by 257

Not on the map. Why?

Abstract (arXiv)

Suffering from the extreme training data imbalance between seen and unseen classes, most of existing state-of-the-art approaches fail to achieve satisfactory results for the challenging generalized zero-shot learning task. To circumvent the need for labeled examples of unseen classes, we propose a novel generative adversarial network (GAN) that synthesizes CNN features conditioned on class-level semantic information, offering a shortcut directly from a semantic descriptor of a class to a class-conditional feature distribution. Our proposed approach, pairing a Wasserstein GAN with a classification loss, is able to generate sufficiently discriminative CNN features to train softmax classifiers or any multimodal embedding method. Our experimental results demonstrate a significant boost in accuracy over the state of the art on five challenging datasets -- CUB, FLO, SUN, AWA and ImageNet -- in both the zero-shot learning and generalized zero-shot learning settings.

Key facts. Cited by 257 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Dec 2017.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2018: 1; 2019: 0; 2020: 0; 2021: 92; 2022: 57; 2023: 43; 2024: 32; 2025: 22; 2026: 10.

257 papers.

Sort:

By area:

  1. 2021Free Lunch for Few-shot Learning: Distribution Calibrationcited by 165
  2. 2022A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunitiescited by 163
  3. 2021Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Biascited by 118
  4. 2022Understanding Zero-Shot Adversarial Robustness for Large-Scale Modelscited by 117
  5. 2021Learning Graph Embeddings for Compositional Zero-shot Learningcited by 112
  6. 2021Counterfactual Zero-Shot and Open-Set Visual Recognitioncited by 95
  7. 2021Contrastive Embedding for Generalized Zero-Shot Learningcited by 94
  8. 2021Domain Impression: A Source Data Free Domain Adaptation Methodcited by 91
  9. 2021Detecting Human-Object Interaction via Fabricated Compositional Learningcited by 79
  10. 2024PromptKD: Unsupervised Prompt Distillation for Vision-Language Modelscited by 72
  11. 2021Goal-Oriented Gaze Estimation for Zero-Shot Learningcited by 68
  12. 2021FREE: Feature Refinement for Generalized Zero-Shot Learningcited by 67
38 more
  1. 2022Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Featurescited by 63
  2. 2021A Closer Look at Self-training for Zero-Label Semantic Segmentationcited by 57
  3. 2021HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learningcited by 57
  4. 2021Semantics Disentangling for Generalized Zero-Shot Learningcited by 56
  5. 2021Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloudscited by 55
  6. 2021TransZero: Attribute-guided Transformer for Zero-Shot Learningcited by 54
  7. 2021Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentationcited by 53
  8. 2022Semi-Supervised and Unsupervised Deep Visual Learning: A Surveycited by 52
  9. 2023Improving Zero-Shot Generalization for CLIP with Synthesized Promptscited by 51
  10. 2021Learning Graph Embeddings for Open World Compositional Zero-Shot Learningcited by 49
  11. 2022MSDN: Mutually Semantic Distillation Network for Zero-Shot Learningcited by 48
  12. 2021OntoZSL: Ontology-enhanced Zero-shot Learningcited by 45
  13. 2021SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentationcited by 41
  14. 2021Zero-Shot Learning on 3D Point Cloud Objects and Beyondcited by 38
  15. 2022Learning Domain Invariant Prompt for Vision-Language Modelscited by 36
  16. 2021All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-trainingcited by 32
  17. 2023Learning Attention as Disentangler for Compositional Zero-shot Learningcited by 29
  18. 2021TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learningcited by 28
  19. 2021Discriminative Region-based Multi-Label Zero-Shot Learningcited by 27
  20. 2022Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Languagecited by 27
  21. 2022VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learningcited by 27
  22. 2022I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classificationcited by 27
  23. 2021GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learningcited by 26
  24. 2021Semantics-Guided Contrastive Network for Zero-Shot Object detectioncited by 26
  25. 2023Federated Domain Generalization: A Surveycited by 25
  26. 2021Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognitioncited by 24
  27. 2021Semantic Diversity Learning for Zero-Shot Multi-label Classificationcited by 24
  28. 2022Learning Invariant Visual Representations for Compositional Zero-Shot Learningcited by 24
  29. 2023Zero-Shot Learning by Harnessing Adversarial Samplescited by 24
  30. 2021Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Surveycited by 23
  31. 2022When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Methodcited by 21
  32. 2023Large Language Models are Good Prompt Learners for Low-Shot Image Classificationcited by 21
  33. 2025Model Predictive Task Sampling for Efficient and Robust Adaptationcited by 21
  34. 2021Fine-Grained Zero-Shot Learning with DNA as Side Informationcited by 20
  35. 2022Robust Region Feature Synthesizer for Zero-Shot Object Detectioncited by 20
  36. 2022Hybrid Routing Transformer for Zero-Shot Learningcited by 20
  37. 2023Evolving Semantic Prototype Improves Generative Zero-Shot Learningcited by 20
  38. 2021Generative Multi-Label Zero-Shot Learningcited by 19

50 most cited of 257 All 257 (JSON)