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20202023
most citedRole-Wise Data Augmentation for Knowledge Distillation

18 citations · 37 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023★ 3 cited

LCReg: Long-Tailed Image Classification with Latent Categories based Recognition

Weide Liu, Zhonghua Wu, Yiming Wang +4

In this work, we tackle the challenging problem of long-tailed image recognition. Previous long-tailed recognition approaches mainly focus on data augmentation or re-balancing stra…

cs.CV2023★ 1 cited

Unlimited Knowledge Distillation for Action Recognition in the Dark

Ruibing Jin, Guosheng Lin, Min Wu +4

Dark videos often lose essential information, which causes the knowledge learned by networks is not enough to accurately recognize actions. Existing knowledge assembling methods re…

cs.CV2022

Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis

Jia Li, Ziyang Zhang, Junjie Lang +9

In this paper, we present our solutions for the Multimodal Sentiment Analysis Challenge (MuSe) 2022, which includes MuSe-Humor, MuSe-Reaction and MuSe-Stress Sub-challenges. The Mu…

cs.CV2022

Long-tailed Recognition by Learning from Latent Categories

Weide Liu, Zhonghua Wu, Yiming Wang +4

In this work, we address the challenging task of long-tailed image recognition. Previous long-tailed recognition methods commonly focus on the data augmentation or re-balancing str…

cs.CV2021★ 14 cited

Few-Shot Segmentation with Global and Local Contrastive Learning

Weide Liu, Zhonghua Wu, Henghui Ding +4

In this work, we address the challenging task of few-shot segmentation. Previous few-shot segmentation methods mainly employ the information of support images as guidance for query…

cs.CV2021★ 1 cited

Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis

Fayao Liu, Guosheng Lin, Chuan-Sheng Foo +2

3D point cloud analysis has drawn a lot of research attention due to its wide applications. However, collecting massive labelled 3D point cloud data is both time-consuming and labo…