3 citations · 4 across the 4 of their papers we have counts for
4 papers
Feature-Suppressed Contrast for Self-Supervised Food Pre-training
Xinda Liu, Yaohui Zhu, Linhu Liu +2
Most previous approaches for analyzing food images have relied on extensively annotated datasets, resulting in significant human labeling expenses due to the varied and intricate n…
Learn More for Food Recognition via Progressive Self-Distillation
Yaohui Zhu, Linhu Liu, Jiang Tian
Food recognition has a wide range of applications, such as health-aware recommendation and self-service restaurants. Most previous methods of food recognition firstly locate inform…
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough
Zhuo Li, Weiqing Min, Jiajun Song +5
Optimizing the approximation of Average Precision (AP) has been widely studied for image retrieval. Limited by the definition of AP, such methods consider both negative and positiv…
Dataset Bias in Few-shot Image Recognition
Shuqiang Jiang, Yaohui Zhu, Chenlong Liu +3
The goal of few-shot image recognition (FSIR) is to identify novel categories with a small number of annotated samples by exploiting transferable knowledge from training data (base…