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检索条件"机构=School of Computer and Technology Science and Technology"
178792 条 记 录,以下是611-620 订阅
排序:
Stochastic Augmented-Based Dual-Teaching for Semi-Supervised Medical Image Segmentation
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computers, Materials & Continua 2025年 第1期82卷 543-560页
作者: Hengyang Liu Yang Yuan Pengcheng Ren Chengyun Song Fen Luo School of Computer Science and Engineering Chongqing University of TechnologyChongqing400054China College of Artificial Intelligence Chongqing Technology and Business UniversityChongqing400067China
Existing semi-supervisedmedical image segmentation algorithms use copy-paste data augmentation to correct the labeled-unlabeled data distribution ***,current copy-paste methods have three limitations:(1)training the m... 详细信息
来源: 评论
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation  38
Lightweight Frequency Masker for Cross-Domain Few-Shot Seman...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Tong, Jintao Zou, Yixiong Li, Yuhua Li, Ruixuan School of Computer Science and Technology Huazhong University of Science and Technology China
Cross-domain few-shot segmentation (CD-FSS) is proposed to first pre-train the model on a large-scale source-domain dataset, and then transfer the model to data-scarce target-domain datasets for pixel-level segmentati...
来源: 评论
Generate Universal Adversarial Perturbations for Few-Shot Learning  38
Generate Universal Adversarial Perturbations for Few-Shot Le...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Hu, Yiman Zou, Yixiong Li, Ruixuan Li, Yuhua School of Computer Science and Technology Huazhong University of Science and Technology China
Deep networks are known to be vulnerable to adversarial examples which are deliberately designed to mislead the trained model by introducing imperceptible perturbations to input samples. Compared to traditional pertur...
来源: 评论
AT2D: An Automated Testing Framework for Deepfake Detection Models  17
AT2D: An Automated Testing Framework for Deepfake Detection ...
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17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2024
作者: Yuan, Minghao Fan, Yong Pan, Ya Chao, Yang Ji, Gangcheng Zhong, Wenfeng School of Computer Science and Technology Southwest University of Science and Technology China
Deepfake videos are rapidly spreading across the internet, posing significant threats to public interests. To counter this issue, researchers have developed various deep learning-based deepfake detection methods, whic... 详细信息
来源: 评论
Adaptive Elastic GAN for High-Fidelity Blood Cell Image Hallucination and Classification
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IEEE Access 2025年 13卷 84897-84910页
作者: Neha Margret, Issac Rajakumar, K. Vellore Institute of Technology School of Computer Science and Engineering Tamil Nadu Vellore632014 India
Automated blood cell classification is crucial for hematological analysis, yet the scarcity of annotated medical datasets challenges deep learning models. This study presents a novel semi-supervised Elastic Generative... 详细信息
来源: 评论
Imbalanced multilabel retinal disease classification using threshold moving and ensemble learning
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Multimedia Tools and Applications 2025年 1-19页
作者: Pendharkar, Gaurav Balaji, Sudharshanan Kumar, B. Muhesh Malathi, G. School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Chennai600127 India
Billions of people worldwide are affected by vision impairment majorly caused due to age-related degradation and refractive errors. Diabetic Retinopathy(DR) and Macular Hole(MH) are among the most prevalent senescent ... 详细信息
来源: 评论
Online Stable Streaming Feature Selection via Feature Aggregation
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ACM Transactions on Knowledge Discovery from Data 2025年 第3期19卷 1-23页
作者: Zhou, Peng Wang, Qi Zhang, Yunyun Ling, Zhaolong Zhao, Shu Wu, Xindong School of Computer Science and Technology Anhui University Hefei China Anhui University Hefei China Hefei University of Technology Hefei China
Feature selection is an essential pre-process component in data mining that aims to select the most relevant features from the target dataset. Datasets are always dynamic in real-world applications, and features may e... 详细信息
来源: 评论
Simulation Study of Rayleigh-Bénard Thermal Convection Based on PINN  7
Simulation Study of Rayleigh-Bénard Thermal Convection Base...
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7th International Conference on computer Information science and Application technology, CISAT 2024
作者: Zou, Qingfeng He, Jie Liu, Tao Xie, Jianan Zhao, Dongmei University of Science and Technology School of Computer Science and Technology Mianyang China
In order to overcome the limitations of traditional numerical methods in the numerical simulation of two-dimensional Rayleigh-Bénard heat convection, a novel approach based on physical information neural networks... 详细信息
来源: 评论
A Generative Image Steganography Based on Disentangled Attribute Feature Transformation and Invertible Mapping Rule
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computers, Materials & Continua 2025年 第4期83卷 1149-1171页
作者: Xiang Zhang Shenyan Han Wenbin Huang Daoyong Fu School of Computer Science Nanjing University of Information Science and TechnologyNanjing210044China Engineering Research Center of Digital Forensics Nanjing University of Information Science and TechnologyMinistry of EducationNanjing210044China
Generative image steganography is a technique that directly generates stego images from secret *** traditional methods,it theoretically resists steganalysis because there is no cover ***,the existing generative image ... 详细信息
来源: 评论
Dual-Task Contrastive Meta-Learning for Few-Shot Cross-Domain Emotion Recognition
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computers, Materials & Continua 2025年 第2期82卷 2331-2352页
作者: Yujiao Tang Yadong Wu Yuanmei He Jilin Liu Weihan Zhang School of Computer Science and Engineering Sichuan University of Science and EngineeringYibin644002China School of Mechanical and Power Engineering Chongqing University of Science and TechnologyChongqing401331China
Emotion recognition plays a crucial role in various fields and is a key task in natural language processing (NLP). The objective is to identify and interpret emotional expressions in text. However, traditional emotion... 详细信息
来源: 评论