3 citations · 4 across the 4 of their papers we have counts for
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cs.CV2023★ 3 cited
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…
cs.CV2023★ 1 cited
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…
cs.CV2020
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…