CASIA OpenIR

浏览/检索结果: 共58条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:  Gao, Jiaqi;  Huang, Zhizhong;  Lei, Yiming;  Shan, Hongming;  Wang, James Z.;  Wang, Fei-Yue;  Zhang, Junping
收藏  |  浏览/下载:40/0  |  提交时间:2024/02/22
Crowd counting  feature pyramid  ranking  semi-supervised learning  
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:  Qi, Xingqun;  Sun, Muyi;  Wang, Zijian;  Liu, Jiaming;  Li, Qi;  Zhao, Fang;  Zhang, Shanghang;  Shan, Caifeng
Adobe PDF(6718Kb)  |  收藏  |  浏览/下载:89/32  |  提交时间:2024/02/22
Face photo-sketch synthesis  generative adversarial network  graph representation learning  intraclass and interclass  iterative cycle training (ICT)  
PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:  Li, Zhikai;  Chen, Mengjuan;  Xiao, Junrui;  Gu, Qingyi
收藏  |  浏览/下载:48/0  |  提交时间:2023/11/17
Data-free quantization  model compression  patch similarity  quantized vision transformers (ViTs)  
Semisupervised Progressive Representation Learning for Deep Multiview Clustering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Chen, Rui;  Tang, Yongqiang;  Xie, Yuan;  Feng, Wenlong;  Zhang, Wensheng
收藏  |  浏览/下载:97/0  |  提交时间:2023/11/17
Representation learning  Training  Data models  Task analysis  Complexity theory  Semisupervised learning  Optimization  Deep clustering  multiview clustering  progressive sample learning  semisupervised learning  
PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Xiao, Anqi;  Shen, Biluo;  Tian, Jie;  Hu, Zhenhua
收藏  |  浏览/下载:81/0  |  提交时间:2023/11/17
Convolution  Search problems  Optimization  Computer architecture  Object detection  Molecular imaging  Visualization  Multiscale  neural architecture search (NAS)  plug-and-play  representation learning  
AAformer: Auto-Aligned Transformer for Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11
作者:  Zhu, Kuan;  Guo, Haiyun;  Zhang, Shiliang;  Wang, Yaowei;  Liu, Jing;  Wang, Jinqiao;  Tang, Ming
收藏  |  浏览/下载:115/0  |  提交时间:2023/11/16
Auto-alignment  part-level representation  person re-identification (re-ID)  transformer  
Exploring the Temporal Consistency of Arbitrary Style Transfer: A Channelwise Perspective 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Kong, Xiaoyu;  Deng, Yingying;  Tang, Fan;  Dong, Weiming;  Ma, Chongyang;  Chen, Yongyong;  He, Zhenyu;  Xu, Changsheng
收藏  |  浏览/下载:148/0  |  提交时间:2023/03/20
Correlation  Task analysis  Optical imaging  Integrated optics  Lighting  Optical fiber networks  Image reconstruction  Arbitrary stylization  channel correlation  cross-domain  feature migration  
Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Tian, Yonglin;  Shen, Yu;  Wang, Xiao;  Wang, Jiangong;  Wang, Kunfeng;  Ding, Weiping;  Wang, Zilei;  Wang, Fei-Yue
收藏  |  浏览/下载:240/0  |  提交时间:2023/03/20
Attention inside kernels  dynamic convolution  global context  local context  
BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 1-12
作者:  Ma L(马亮);  Zhang Y(张瑜);  Zhang HT(张瀚天);  Cheng LQ(程禄祺);  Yang ZY(杨正宜);  Lu YH(陆玉恒);  Shi WY(时维阳);  Li W(李雯);  Zhuo JJ(卓俊杰);  Wang JJ(王娇健);  Fan LZ(樊令仲);  Jiang TZ(蒋田仔)
Adobe PDF(16100Kb)  |  收藏  |  浏览/下载:182/36  |  提交时间:2023/01/04
anatomical connectivity fingerprints  heritability  individualized brain atlas  graph neural network  topography variability  
Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Fu, Kaicheng;  Du, Changde;  Wang, Shengpei;  He, Huiguang
Adobe PDF(4570Kb)  |  收藏  |  浏览/下载:261/66  |  提交时间:2022/12/27
Decoding  Brain modeling  Functional magnetic resonance imaging  Predictive models  Emotion recognition  Dimensionality reduction  Pattern recognition  Fine-grained emotion decoding  multi-label learning  multi-view learning  product of experts (PoEs)  variational autoencoder