Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Gong, Lijun"'
Autor:
Dang, Ronghao, Feng, Jiangyan, Zhang, Haodong, Ge, Chongjian, Song, Lin, Gong, Lijun, Liu, Chengju, Chen, Qijun, Zhu, Feng, Zhao, Rui, Song, Yibing
We propose InstructDET, a data-centric method for referring object detection (ROD) that localizes target objects based on user instructions. While deriving from referring expressions (REC), the instructions we leverage are greatly diversified to enco
Externí odkaz:
http://arxiv.org/abs/2310.05136
Publikováno v:
In Sensors and Actuators: A. Physical 16 October 2024 377
Convolutional Neural Networks (CNNs) have advanced existing medical systems for automatic disease diagnosis. However, a threat to these systems arises that adversarial attacks make CNNs vulnerable. Inaccurate diagnosis results make a negative influen
Externí odkaz:
http://arxiv.org/abs/2103.05232
The automatic grading of diabetic retinopathy (DR) facilitates medical diagnosis for both patients and physicians. Existing researches formulate DR grading as an image classification problem. As the stages/categories of DR correlate with each other,
Externí odkaz:
http://arxiv.org/abs/2007.09968
Medical image analysis benefits Computer Aided Diagnosis (CADx). A fundamental analyzing approach is the classification of medical images, which serves for skin lesion diagnosis, diabetic retinopathy grading, and cancer classification on histological
Externí odkaz:
http://arxiv.org/abs/2007.09979
Autor:
Zou, Hongyan, Gong, Lijun, Xu, Yue, Ni, Huanhuan, Jiang, Yongjian, Li, Yuanfang, Huang, Chengzhi, Liu, Qingqing
Publikováno v:
In Talanta 15 August 2023 261
Accurate lesion detection in computer tomography (CT) slices benefits pathologic organ analysis in the medical diagnosis process. More recently, it has been tackled as an object detection problem using the Convolutional Neural Networks (CNNs). Despit
Externí odkaz:
http://arxiv.org/abs/1907.03958
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Autor:
Song, Yibing, Zhang, Jiawei, Gong, Lijun, He, Shengfeng, Bao, Linchao, Pan, Jinshan, Yang, Qingxiong, Yang, Ming-Hsuan
We address the problem of restoring a high-resolution face image from a blurry low-resolution input. This problem is difficult as super-resolution and deblurring need to be tackled simultaneously. Moreover, existing algorithms cannot handle face imag
Externí odkaz:
http://arxiv.org/abs/1811.09019
Autor:
Song, Yibing, Ma, Chao, Wu, Xiaohe, Gong, Lijun, Bao, Linchao, Zuo, Wangmeng, Shen, Chunhua, Lau, Rynson, Yang, Ming-Hsuan
The tracking-by-detection framework consists of two stages, i.e., drawing samples around the target object in the first stage and classifying each sample as the target object or as background in the second stage. The performance of existing trackers
Externí odkaz:
http://arxiv.org/abs/1804.04273