中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共13条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Effective Model Compression via Stage-wise Pruning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 937-951
作者:  Ming-Yang Zhang;  Xin-Yi Yu;  Lin-Lin Ou
Adobe PDF(2394Kb)  |  收藏  |  浏览/下载：30/13  |  提交时间：2024/04/23
Automated machine learning (AutoML), channel pruning, model compression, distillation, convolutional neural networks (CNN)  
Machine Learning Methods in Solving the Boolean Satisfiability Problem 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:  Wenxuan Guo;  Hui-Ling Zhen;  Xijun Li;  Wanqian Luo;  Mingxuan Yuan;  Yaohui Jin;  Junchi Yan
Adobe PDF(1518Kb)  |  收藏  |  浏览/下载：72/26  |  提交时间：2024/04/23
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization  
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：55/18  |  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：60/13  |  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：47/19  |  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  
A Survey on Collaborative DNN Inference for Edge Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 370-395
作者:  Wei-Qing Ren;  Yu-Ben Qu;  Chao Dong;  Yu-Qian Jing;  Hao Sun;  Qi-Hui Wu;  Song Guo
Adobe PDF(2969Kb)  |  收藏  |  浏览/下载：52/15  |  提交时间：2024/04/23
Artificial intelligence (AI), edge intelligence (EI), distributed computing, deep neural network (DNN), collaborative inference  
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：48/8  |  提交时间：2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding  
Deep Gradient Learning for Efficient Camouflaged Object Detection 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 92-108
作者:  Ge-Peng Ji;  Deng-Ping Fan;  Yu-Cheng Chou;  Dengxin Dai;  Alexander Liniger;  Luc Van Gool
Adobe PDF(5723Kb)  |  收藏  |  浏览/下载：62/17  |  提交时间：2024/04/23
Camouflaged object detection (COD)  object gradient  soft grouping  efficient model  image segmentation  
VLP: A Survey on Vision-language Pre-training 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 38-56
作者:  Fei-Long Chen;  Du-Zhen Zhang;  Ming-Lun Han;  Xiu-Yi Chen;  Jing Shi;  Shuang Xu;  Bo Xu
Adobe PDF(1427Kb)  |  收藏  |  浏览/下载：54/17  |  提交时间：2024/04/23
Vision and language  pre-training  transformers  multimodal learning  representation learning  
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：34/9  |  提交时间：2024/04/23
Federated learning  privacy-preserving machine learning  security  decentralized learning  intellectual property protection