15 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 4 cited
Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification
Yaohui Li, Huaxiong Li, Haoxing Chen +1
Few-shot image classification aims at recognizing unseen categories with a small number of labeled training data. Recent metric-based frameworks tend to represent a support class b…
cs.CV2021★ 5 cited
Multi-level Metric Learning for Few-shot Image Recognition
Haoxing Chen, Huaxiong Li, Yaohui Li +1
Few-shot learning is devoted to training a model on few samples. Most of these approaches learn a model based on a pixel-level or global-level feature representation. However, usin…
cs.CV2020★ 15 cited
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Haoxing Chen, Huaxiong Li, Yaohui Li +1
The goal of few-shot learning is to classify unseen categories with few labeled samples. Recently, the low-level information metric-learning based methods have achieved satisfying…