no code implementations • 3 Jul 2023 • Jun Ma, Huanfeng Shen, Menghui Jiang, Liupeng Lin, Chunlei Meng, Chao Zeng, Huifang Li, Penghai Wu
Specifically, the light gradient-boosting machine (LGBM) model, which uses only remote sensing data as input, serves as the pure ML model.
no code implementations • 7 Jun 2022 • Chao Zeng, Sam Kwong
Considering the inaccurate depth map issue, we collect the RGB features of early stages into a skip convolution module to give more guidance from RGB modality to the final saliency prediction.
no code implementations • 1 Dec 2021 • Chao Zeng, Sam Kwong
In addition, comparable NR performance is achieved in extensive experiments, and the results show that the NR performance can be leveraged by the joint training scheme.
no code implementations • 29 Jun 2021 • Chao Zeng, Tiesong Zhao, Sam Kwong
Motivated by the auto-encoder mechanism and contrastive representation learning advances, we propose a learning-based metric for image captioning, which we call Intrinsic Image Captioning Evaluation($I^2CE$).
no code implementations • 27 Jun 2021 • Rongfei Zeng, Chao Zeng, Xingwei Wang, Bo Li, Xiaowen Chu
Federated learning utilizes various resources provided by participants to collaboratively train a global model, which potentially address the data privacy issue of machine learning.
no code implementations • 14 Dec 2020 • Chao Zeng, Sam Kwong
The image captioning task is about to generate suitable descriptions from images.
1 code implementation • 23 Feb 2018 • Qiang Zhang, Qiangqiang Yuan, Chao Zeng, Xinghua Li, Yancong Wei
Because of the internal malfunction of satellite sensors and poor atmospheric conditions such as thick cloud, the acquired remote sensing data often suffer from missing information, i. e., the data usability is greatly reduced.