no code implementations • 13 Dec 2024 • Jianhua Zhang, Yi Gao, Ruyu Liu, Xu Cheng, Houxiang Zhang, ShengYong Chen
To address this issue, we propose a novel strategy to rectify bias and greatly improve the student model's performance.
no code implementations • 13 Jul 2024 • Chuntai Zheng, Wei Zhao, Benshuai Lyu, Keke Gao, Hongjun Cao, Lei Zhong, Yi Gao, Ren Liao
This study identifies and analyzes the loss factors on the mass flow rate and power consumption based on experimental data, and hypothesizes possible mechanisms for each loss factor, which can aid in the design of a high-speed rotary compressor with higher efficiency.
no code implementations • 11 Dec 2023 • Mu Tian, Qinzhu Yang, Yi Gao
This attentive similarity loss optimizes the alignment of FCN encoders, attention mapping and model prediction.
no code implementations • 11 Dec 2023 • Mu Tian, Xiaohui Chen, Yi Gao
Many deep learning based automated medical image segmentation systems, in reality, face difficulties in deployment due to the cost of massive data annotation and high latency in model iteration.
no code implementations • 7 Nov 2023 • Chenwei Tang, Wenqiang Zhou, Dong Wang, Caiyang Yu, Zhenan He, Jizhe Zhou, Shudong Huang, Yi Gao, Jianming Chen, Wentao Feng, Jiancheng Lv
The advent of Industry 4. 0 has precipitated the incorporation of Artificial Intelligence (AI) methods within industrial contexts, aiming to realize intelligent manufacturing, operation as well as maintenance, also known as industrial intelligence.
no code implementations • 10 Oct 2023 • Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu
In this paper, we present our solution to the New frontiers for Zero-shot Image Captioning Challenge.
no code implementations • 5 Sep 2023 • TaeHoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Wooyoung Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun
In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project and share the results and outcomes of 2023 challenge.
1 code implementation • 21 Apr 2023 • Zhengcheng Shen, Yi Gao, Linh Kästner, Jens Lambrecht
HabitatDyn was created from the perspective of a mobile robot with a moving camera, and contains 30 scenes featuring six different types of moving objects with varying velocities.
no code implementations • 25 Feb 2023 • Yi Gao, Miao Xu, Min-Ling Zhang
Moreover, theoretical findings reveal that calculating a transition matrix from label correlations in \textit{multi-labeled CLL} (ML-CLL) needs multi-labeled data, while this is unavailable for ML-CLL.
no code implementations • 28 Sep 2022 • Shengyang Wu, Yi Gao
This study aims to measure customer satisfaction by analyzing sentiments of Tweets that mention airlines using a machine learning approach.
no code implementations • 5 Mar 2022 • Yi Gao, Chenwei Tang, Jiancheng Lv
Generalized Zero-Shot Learning (GZSL) aims to recognize both seen and unseen classes by training only the seen classes, in which the instances of unseen classes tend to be biased towards the seen class.
no code implementations • 15 Jan 2021 • Chuan Liu, Yi Gao, Jiancheng Lv
It allows the network to use a higher learning rate and speed up training.
no code implementations • 9 Mar 2020 • Jinchan He, Xiaxia Yu, Chudong Cai, Yi Gao
At the same time, the pancreas distribution is also learned for the subsequent segmentation.
no code implementations • 31 Jan 2020 • Houpu Yao, Yi Gao, Yongming Liu
Based on this, a special type of deep convolutional neural network (DCNN) is proposed that takes advantage of our prior knowledge in physics to build data-driven models whose architectures are of physics meaning.
no code implementations • 7 May 2017 • Naiyun Zhou, Andrey Fedorov, Fiona Fennessy, Ron Kikinis, Yi Gao
In this work, we present an analysis pipeline that includes localization of the cancer region, grading, area ratio of different Gleason grades, and cytological/architectural feature extraction.
no code implementations • 3 Apr 2017 • Le Hou, Vu Nguyen, Dimitris Samaras, Tahsin M. Kurc, Yi Gao, Tianhao Zhao, Joel H. Saltz
In this work, we propose a sparse Convolutional Autoencoder (CAE) for fully unsupervised, simultaneous nucleus detection and feature extraction in histopathology tissue images.
no code implementations • 23 Aug 2016 • Le Hou, Dimitris Samaras, Tahsin M. Kurc, Yi Gao, Joel H. Saltz
In this paper, we propose and apply AAFs on feedforward NNs for regression tasks.
1 code implementation • CVPR 2016 • Le Hou, Dimitris Samaras, Tahsin M. Kurc, Yi Gao, James E. Davis, Joel H. Saltz
However, to recognize cancer subtypes automatically, training a CNN on gigapixel resolution Whole Slide Tissue Images (WSI) is currently computationally impossible.