Low-Shot Learning with Imprinted Weights

Qi, Hang, Brown, Matthew, Lowe, David G.·2018·2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Cited by (544)

Items 101–200 of 544

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  2. Spatial Contrastive Learning for Few-Shot Classification
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  16. Efficient Few-Shot Object Detection via Knowledge Inheritance
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  18. A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data
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  19. Few-Shot Continual Learning for Audio Classification
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  20. Learning from Few Samples: A Survey
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  21. OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
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  26. Global-Local Interplay in Semantic Alignment for Few-Shot Learning
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  27. Recent advances of few-shot learning methods and applications
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  29. A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification
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  30. Revisiting Fine-tuning for Few-shot Learning
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  31. Machine Learning with Confidential Computing: A Systematization of Knowledge
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  33. Meta-Learned Confidence for Few-shot Learning
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  34. Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
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  36. Attribute Prototype Network for Any-Shot Learning
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  37. Cross-Domain Self-Taught Network for Few-Shot Hyperspectral Image Classification
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  38. A Survey of Few-Shot Learning: An Effective Method for Intrusion Detection
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  39. Incremental Few-Shot Fault Diagnosis With Cosine-Represent Real-Time Evolved Network of Transmission Systems
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  40. GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing
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  43. Few-Shot Learning via Feature Hallucination with Variational Inference
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  45. Enhancing Mixture-of-Experts by Leveraging Attention for Fine-Grained Recognition
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  46. Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay
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  47. Multidimensional Prototype Refactor Enhanced Network for Few-Shot Action Recognition
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  48. DocFace+: ID Document to Selfie Matching
    Yichun Shi, Anil K. Jain · 2019 · IEEE Transactions on Biometrics Behavior and Identity Science
  49. Large-Scale Few-Shot Learning via Multi-modal Knowledge Discovery
    Shuo Wang, Jun Yue, Jianzhuang Liu, Qi Chuan Tian, Meng Wang · 2020 · Lecture notes in computer science
  50. PNPDet: Efficient Few-shot Detection without Forgetting via Plug-and-Play Sub-networks
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  51. Few-Shot Domain Adaptation via Mixup Optimal Transport
    Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding · 2022 · IEEE Transactions on Image Processing
  52. ConvProtoNet: Deep Prototype Induction towards Better Class Representation for Few-Shot Malware Classification
    Zhijie Tang, Peng Wang, Junfeng Wang · 2020 · Applied Sciences
  53. Few-Shot Learning by Integrating Spatial and Frequency Representation
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  54. Attentive Feature Augmentation for Long-Tailed Visual Recognition
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  55. Open Long-Tailed Recognition in a Dynamic World
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  56. Long-tail Recognition via Compositional Knowledge Transfer
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  58. Continual Learning through Retrieval and Imagination
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  59. Few-Shot Fine-Grained Image Classification: A Comprehensive Review
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  60. On the Importance of Distractors for Few-Shot Classification
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  61. Induction Networks for Few-Shot Text Classification
    Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, Jian Qiao Sun · 2019 · arXiv (Cornell University)
  62. Negatives Make a Positive: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
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  63. Incremental Few-Shot Learning for Pedestrian Attribute Recognition
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  72. PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
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