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 401–500 of 544

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  16. A Large-Class Few-Shot Learning Method Based on High-Dimensional Features
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  18. Generalized Few-Shot 3D Point Cloud Segmentation
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  19. Few-Shot Class-Incremental Learning with Class Centers and Contrastive Learning for Incremental Vehicle Recognition
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  20. TENET: Beyond Pseudo-labeling for Semi-supervised Few-shot Learning
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  22. Multi-Level Similarity Learning for Low-Shot Recognition
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  24. A Siamese Based One Shot Learning Network with a Watermark Enhancement Technique for Historical Watermark Recognition
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  25. When Few-Shot Learning Meets Video Object Detection
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  29. Lightweight Few-Shot Learning Based on Triple Information for Internet-of-Things Applications
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  30. A hybrid deep model with cumulative learning for few-shot learning
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  31. Test case classification via few-shot learning
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  32. Adaptive Anchor Label Propagation for Transductive Few-Shot Learning
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  33. A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
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  34. Variational Information Bottleneck on Few Shot Model based on Weight Imprinting for Image Classification
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  35. Meta-Transfer Networks for Zero-Shot Learning
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  36. AlphaNet: Improving Long-Tail Classification By Combining Classifiers
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  38. Few-Shot Learning for Video Object Detection in a Transfer-Learning Scheme.
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  43. Enhancing Few-Shot Class-Incremental Learning via Frozen Feature Augmentation
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  44. A Prototype-Based Semisupervised Learning Method for Few-Shot SAR Target Recognition
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  45. A single fast Hebbian-like process enabling one-shot class addition in deep neural networks without backbone modification
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  46. Progress and Prospects of Object Detection Based on Few-Shot Learning
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  48. Classification Weight Imprinting for Data Efficient Object Detection
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  50. One-Shot Image Learning Using Test-Time Augmentation
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  52. A Closer Look at Few-Shot Object Detection
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  55. Multimodal Prototype Enhanced Few-Shot Image Recognition with Dense Attention-Weighted Knowledge Graph Propagation
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  56. Large-Scale Few-Shot Classification with Semi-supervised Hierarchical k-Probabilistic PCAs
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  57. Task Consistent Prototype Learning for Incremental Few-Shot Semantic Segmentation
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  59. Network Parameter Generation for One-Shot Object Detection
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  60. Fine-Grained 3D-Attention Prototypes for Few-Shot Learning
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  61. An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers
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  62. Robust Hypersphere-based Weight Imprinting for Few-Shot Learning
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  63. Improving the Generalised Few-shot Learning by Semantic Information
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  68. Low-shot Object Detection via Classification Refinement.
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  69. Proxy Network for Few Shot Learning
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  70. COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach
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  71. Few-shot Learning with Global Relatedness Decoupled-Distillation
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  72. External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery
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  73. Self-Denoising Neural Networks for Few Shot Learning
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  74. Towards Recognizing New Semantic Concepts in New Visual Domains
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  75. Margin Constraint for Low-Shot Learning
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  76. Channel Relationship Prediction with Forget-Update Module for Few-shot Classification
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  77. Few-Shot Learning via Data Augmentation in Feature Space
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  78. A Feature Extraction Method Based on Few-shot Learning
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  80. Making CNNs Interpretable by Building Dynamic Sequential Decision Forests with Top-down Hierarchy Learning
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  81. Learning Compositional Shape Priors for Few-Shot 3D Reconstruction
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  87. Kernel-based similarity sorting and allocation for few-shot semantic segmentation
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  88. Base Class Selection for Efficient Target-Guided Few-Shot Classification
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