Trend and Thoughts: Understanding Climate Change Concern using Machine Learning and Social Media Data

no code implementations • 6 Nov 2021 • Zhongkai Shangguan, Zihe Zheng, Lei Lin

Nowadays social media platforms such as Twitter provide a great opportunity to understand public opinion of climate change compared to traditional survey methods.

Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis

no code implementations • 15 Sep 2021 • Wei Zhu, Zihe Zheng, Haitian Zheng, Hanjia Lyu, Jiebo Luo

The learned prototypes and their labels can be regarded as denoising features and labels for the local regions and can guide the training process to prevent the model from overfitting the noisy cases.

Denoising Learning with noisy labels +1

NTIRE 2021 Multi-modal Aerial View Object Classification Challenge

no code implementations • 2 Jul 2021 • Jerrick Liu, Nathan Inkawhich, Oliver Nina, Radu Timofte, Sahil Jain, Bob Lee, Yuru Duan, Wei Wei, Lei Zhang, Songzheng Xu, Yuxuan Sun, Jiaqi Tang, Mengru Ma, Gongzhe Li, Xueli Geng, Huanqia Cai, Chengxue Cai, Sol Cummings, Casian Miron, Alexandru Pasarica, Cheng-Yen Yang, Hung-Min Hsu, Jiarui Cai, Jie Mei, Chia-Ying Yeh, Jenq-Neng Hwang, Michael Xin, Zhongkai Shangguan, Zihe Zheng, Xu Yifei, Lehan Yang, Kele Xu, Min Feng

In this paper, we introduce the first Challenge on Multi-modal Aerial View Object Classification (MAVOC) in conjunction with the NTIRE 2021 workshop at CVPR.

Classification Object