中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共354条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Deep Industrial Image Anomaly Detection: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 104-135
作者:  Jiaqi Liu;  Guoyang Xie;  Jinbao Wang;  Shangnian Li;  Chengjie Wang;  Feng Zheng;  Yaochu Jin
Adobe PDF(3376Kb)  |  收藏  |  浏览/下载：5/1  |  提交时间：2024/04/23
Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision  
Shallow Feature-driven Dual-edges Localization Network for Weakly Supervised Localization 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 923-936
作者:  Wenjun Hui;  Guanghua Gu;  Bo Wang
Adobe PDF(3485Kb)  |  收藏  |  浏览/下载：3/2  |  提交时间：2024/04/23
Weakly supervised object localization, edge feature mining, edge of shallow feature map, edge of shallow gradients, similarity measurement  
Speech Emotion Recognition Using Cascaded Attention Network with Joint Loss for Discrimination of Confusions 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 595-604
作者:  Yang Liu;  Haoqin Sun;  Wenbo Guan;  Yuqi Xia;   Zhen Zhao
Adobe PDF(1966Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2024/04/23
Speech emotion recognition (SER), 3-dimensional (3D) feature, cascaded attention network (CAN), triplet loss, joint loss  
A New Diagnosis Method with Few-shot Learning Based on a Class-rebalance Strategy for Scarce Faults in Industrial Processes 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 583-594
作者:  Xinyao Xu;  De Xu;  Fangbo Qin
Adobe PDF(1348Kb)  |  收藏  |  浏览/下载：4/1  |  提交时间：2024/04/23
Data augmentation, feature clustering, class-rebalance strategy, few-shot learning, fault diagnosis  
Region-adaptive Concept Aggregation for Few-shot Visual Recognition 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 554-568
作者:  Mengya Han;  Yibing Zhan;  Baosheng Yu;  Yong Luo;  Han Hu;  Bo Du;  Yonggang Wen;  Dacheng Tao
Adobe PDF(4324Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Few-shot learning, metric-based meta learning, concept learning, region-adaptive, concept-aggregation  
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 447-482
作者:  Xiao Wang;  Guangyao Chen;  Guangwu Qian;  Pengcheng Gao;  Xiao-Yong Wei;  Yaowei Wang;  Yonghong Tian;  Wen Gao
Adobe PDF(3540Kb)  |  收藏  |  浏览/下载：5/0  |  提交时间：2024/04/23
Multi-modal (MM), pre-trained model (PTM), information fusion, representation learning, deep learning  
Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 435-446
作者:  Jianing Han;  Ziming Wang;  Jiangrong Shen;  Huajin Tang
Adobe PDF(1513Kb)  |  收藏  |  浏览/下载：5/2  |  提交时间：2024/04/23
Symmetric-threshold rectified linear unit (stReLU), deep spiking neural networks, artificial neural network-spiking neural network (ANN-SNN) conversion, lossless conversion, double thresholds  
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
作者:  Rui Jiang;  Ruixiang Zhu;  Hu Su;  Yinlin Li;  Yuan Xie;  Wei Zou
Adobe PDF(9061Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding  
A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 318-334
作者:  Wai-Chung Kwan;  Hong-Ru Wang;  Hui-Min Wang;  Kam-Fai Wong
Adobe PDF(2211Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Dialogue policy learning (DPL), task-oriented dialogue system (TOD), reinforcement learning (RL), dialogue system, Markov decision process  
Federated Learning with Privacy-preserving and Model IP-right-protection 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 19-37
作者:  Qiang Yang;  Anbu Huang;  Lixin Fan;  Chee Seng Chan;  Jian Han Lim;  Kam Woh Ng;  Ding Sheng Ong;  Bowen Li
Adobe PDF(2634Kb)  |  收藏  |  浏览/下载：6/2  |  提交时间：2024/04/23
Federated learning  privacy-preserving machine learning  security  decentralized learning  intellectual property protection