Search Results for author: Lei Tong

Found 12 papers, 6 papers with code

CLANet: A Comprehensive Framework for Cross-Batch Cell Line Identification Using Brightfield Images

1 code implementation28 Jun 2023 Lei Tong, Adam Corrigan, Navin Rathna Kumar, Kerry Hallbrook, Jonathan Orme, Yinhai Wang, Huiyu Zhou

To address this challenge, we introduce CLANet, a pioneering framework for cross-batch cell line identification using brightfield images, specifically designed to tackle three distinct batch effects.

Domain Adaptation Multiple Instance Learning +2

giMLPs: Gate with Inhibition Mechanism in MLPs

1 code implementation1 Aug 2022 Cheng Kang, Jindich Prokop, Lei Tong, Huiyu Zhou, Yong Hu, Daneil Novak

As for the gate with inhibition MLPs on DeBERTa (giDeBERTa) fine-tuning, we find it can achieve appealing results on most parts of NLU tasks without any extra pretraining again.

Image Classification

Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification

no code implementations10 Feb 2021 Kailong Liu, Xiaosong Hu, Huiyu Zhou, Lei Tong, W. Dhammika Widanage, James Marco

Lithium-ion battery manufacturing is a highly complicated process with strongly coupled feature interdependencies, a feasible solution that can analyse feature variables within manufacturing chain and achieve reliable classification is thus urgently needed.

Classification Feature Importance +1

Towards advancing the earthquake forecasting by machine learning of satellite data

no code implementations31 Jan 2021 Pan Xiong, Lei Tong, Kun Zhang, Xuhui Shen, Roberto Battiston, Dimitar Ouzounov, Roberto Iuppa, Danny Crookes, Cheng Long, Huiyu Zhou

Amongst the available technologies for earthquake research, remote sensing has been commonly used due to its unique features such as fast imaging and wide image-acquisition range.

BIG-bench Machine Learning

Structured Context Enhancement Network for Mouse Pose Estimation

1 code implementation1 Dec 2020 Feixiang Zhou, Zheheng Jiang, Zhihua Liu, Fang Chen, Long Chen, Lei Tong, Zhile Yang, Haikuan Wang, Minrui Fei, Ling Li, Huiyu Zhou

However, quantifying mouse behaviours from videos or images remains a challenging problem, where pose estimation plays an important role in describing mouse behaviours.

Animal Pose Estimation

Perceptual underwater image enhancement with deep learning and physical priors

no code implementations21 Aug 2020 Long Chen, Zheheng Jiang, Lei Tong, Zhihua Liu, Aite Zhao, Qianni Zhang, Junyu Dong, Huiyu Zhou

Underwater image enhancement, as a pre-processing step to improve the accuracy of the following object detection task, has drawn considerable attention in the field of underwater navigation and ocean exploration.

Image Enhancement Image Generation +2

CANet: Context Aware Network for 3D Brain Glioma Segmentation

1 code implementation15 Jul 2020 Zhihua Liu, Lei Tong, Long Chen, Feixiang Zhou, Zheheng Jiang, Qianni Zhang, Yinhai Wang, Caifeng Shan, Ling Li, Huiyu Zhou

Automated segmentation of brain glioma plays an active role in diagnosis decision, progression monitoring and surgery planning.

Brain Tumor Segmentation Segmentation +1

A Benchmark dataset for both underwater image enhancement and underwater object detection

no code implementations29 Jun 2020 Long Chen, Lei Tong, Feixiang Zhou, Zheheng Jiang, Zhenyang Li, Jialin Lv, Junyu Dong, Huiyu Zhou

To investigate how the underwater image enhancement methods influence the following underwater object detection tasks, in this paper, we provide a large-scale underwater object detection dataset with both bounding box annotations and high quality reference images, namely OUC dataset.

Image Enhancement Image Quality Assessment +3

Underwater object detection using Invert Multi-Class Adaboost with deep learning

no code implementations23 May 2020 Long Chen, Zhihua Liu, Lei Tong, Zheheng Jiang, Shengke Wang, Junyu Dong, Huiyu Zhou

In addition, we propose a novel sample-weighted loss function which can model sample weights for SWIPENet, which uses a novel sample re-weighting algorithm, namely Invert Multi-Class Adaboost (IMA), to reduce the influence of noise on the proposed SWIPENet.

Object object-detection +1

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