no code implementations • 8 May 2024 • Bo Dang, Wenchao Zhao, Yufeng Li, Danqing Ma, Qixuan Yu, Elly Yijun Zhu
Keywords-Deep Learning; YOLO Framework; Mobile Application; Visual Impairment; Pill Identification; Healthcare
no code implementations • 25 Apr 2024 • Xingchen Song, Di wu, BinBin Zhang, Dinghao Zhou, Zhendong Peng, Bo Dang, Fuping Pan, Chao Yang
Scale has opened new frontiers in natural language processing, but at a high cost.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 14 Apr 2024 • Jieyi Tan, Yansheng Li, Sergey A. Bartalev, Bo Dang, Wei Chen, Yongjun Zhang, Liangqi Yuan
Remote sensing semantic segmentation (RSS) is an essential task in Earth Observation missions.
no code implementations • 24 Mar 2024 • Shaojie Li, Haichen Qu, Xinqi Dong, Bo Dang, Hengyi Zang, Yulu Gong
Exploring the application of deep learning technologies in the field of medical diagnostics, Magnetic Resonance Imaging (MRI) provides a unique perspective for observing and diagnosing complex neurodegenerative diseases such as Alzheimer Disease (AD).
no code implementations • 21 Mar 2024 • Shaojie Li, Xinqi Dong, Danqing Ma, Bo Dang, Hengyi Zang, Yulu Gong
First, for the massive data related to user evaluation provided by operators, key features are extracted by data preprocessing and feature engineering methods, and a multi-dimensional feature set with statistical significance is constructed; then, linear regression, decision tree, LightGBM, and other machine learning algorithms build multiple basic models to find the best basic model; finally, integrates Averaging, Voting, Blending, Stacking and other integrated algorithms to refine multiple fusion models, and finally establish the most suitable fusion model for operator user evaluation.
no code implementations • 20 Mar 2024 • Danqing Ma, Shaojie Li, Bo Dang, Hengyi Zang, Xinqi Dong
In addition, a FasterNet module is introduced to replace the c3 module in the YOLOv5 Backbone.
no code implementations • 15 Dec 2023 • Xin Guo, Jiangwei Lao, Bo Dang, Yingying Zhang, Lei Yu, Lixiang Ru, Liheng Zhong, Ziyuan Huang, Kang Wu, Dingxiang Hu, Huimei He, Jian Wang, Jingdong Chen, Ming Yang, Yongjun Zhang, Yansheng Li
Prior studies on Remote Sensing Foundation Model (RSFM) reveal immense potential towards a generic model for Earth Observation.
no code implementations • 18 May 2023 • Xingchen Song, Di wu, BinBin Zhang, Zhendong Peng, Bo Dang, Fuping Pan, Zhiyong Wu
In this paper, we present ZeroPrompt (Figure 1-(a)) and the corresponding Prompt-and-Refine strategy (Figure 3), two simple but effective \textbf{training-free} methods to decrease the Token Display Time (TDT) of streaming ASR models \textbf{without any accuracy loss}.
no code implementations • 16 Mar 2023 • Yansheng Li, Bo Dang, Wanchun Li, Yongjun Zhang
Global surface water detection in very-high-resolution (VHR) satellite imagery can directly serve major applications such as refined flood mapping and water resource assessment.
no code implementations • 22 Nov 2022 • Bo Dang, Yansheng Li, Yongjun Zhang, Jiayi Ma
Semi-supervised semantic segmentation focuses on the exploration of a small amount of labeled data and a large amount of unlabeled data, which is more in line with the demands of real-world image understanding applications.
no code implementations • 21 Nov 2022 • Wei Chen, Yansheng Li, Bo Dang, Yongjun Zhang
This paper presents EHSNet, a new end-to-end segmentation network designed for the holistic learning of large-size remote sensing image semantic segmentation (LRISS).