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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation CVPR 2021
Transformation Invariant Few-Shot Object Detection CVPR 2021
Generalized Few-Shot Object Detection Without Forgetting CVPR 2021
FAPIS: A Few-Shot Anchor-Free Part-Based Instance Segmenter CVPR 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation CVPR 2021
Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning CVPR 2021
Learning To Count Everything CVPR 2021
Language Models are Few-Shot Butlers EMNLP 2021
Realistic evaluation of transductive few-shot learning NIPS 2021
Causal Navigation by Continuous-time Neural Networks NIPS 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition ICCV 2021
Meta Navigator: Search for a Good Adaptation Policy for Few-Shot Learning ICCV 2021
Few-Shot and Continual Learning With Attentive Independent Mechanisms ICCV 2021
Coarsely-Labeled Data for Better Few-Shot Transfer ICCV 2021
Improve Unsupervised Pretraining for Few-Label Transfer ICCV 2021
Binocular Mutual Learning for Improving Few-Shot Classification ICCV 2021
Boosting the Generalization Capability in Cross-Domain Few-Shot Learning via Noise-Enhanced Supervised Autoencoder ICCV 2021
Relational Embedding for Few-Shot Classification ICCV 2021
Kernel Methods in Hyperbolic Spaces ICCV 2021
Task-Aware Part Mining Network for Few-Shot Learning ICCV 2021
Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack ICCV 2021
Learned Spatial Representations for Few-Shot Talking-Head Synthesis ICCV 2021
A Multi-Mode Modulator for Multi-Domain Few-Shot Classification ICCV 2021
Curvature Generation in Curved Spaces for Few-Shot Learning ICCV 2021
Transductive Few-Shot Classification on the Oblique Manifold ICCV 2021