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Few-Shot Learning

2,562 papers

Papers per year

3
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Papers

Few-Shot Image Recognition With Knowledge Transfer ICCV 2019
Variational Few-Shot Learning ICCV 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning ICCV 2019
Diversity With Cooperation: Ensemble Methods for Few-Shot Classification ICCV 2019
Feature Weighting and Boosting for Few-Shot Segmentation ICCV 2019
SILCO: Show a Few Images, Localize the Common Object ICCV 2019
Learning to Find Common Objects Across Few Image Collections ICCV 2019
AMP: Adaptive Masked Proxies for Few-Shot Segmentation ICCV 2019
ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching ICCV 2019
Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification ICCV 2019
Bayesian Loss for Crowd Count Estimation With Point Supervision ICCV 2019
Boosting Few-Shot Visual Learning With Self-Supervision ICCV 2019
Few-Shot Object Detection via Feature Reweighting ICCV 2019
Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning ICCV 2019
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment ICCV 2019
Few-Shot Adaptive Gaze Estimation ICCV 2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models ICCV 2019
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning ICCV 2019
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation ICCV 2019
Few-Shot Learning With Global Class Representations ICCV 2019
Few-Shot Unsupervised Image-to-Image Translation ICCV 2019
Infinite Mixture Prototypes for Few-shot Learning ICML 2019
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks ICML 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning ICML 2019
Bayesian Generative Active Deep Learning ICML 2019