中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共9条，第1-9条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
A Two-Stage Triplet Network Training Framework for Image Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 12, 页码: 3128-3138
作者:  Min, Weiqing;  Mei, Shuhuan;  Li, Zhuo;  Jiang, Shuqiang
收藏  |  浏览/下载：39/0  |  提交时间：2021/12/01
Image retrieval  Feature extraction  Convolution  Training  Image representation  Task analysis  Measurement  
Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 265-276
作者:  Jiang, Shuqiang;  Min, Weiqing;  Liu, Linhu;  Luo, Zhengdong
收藏  |  浏览/下载：486/0  |  提交时间：2019/12/10
Food recognition  ingredient knowledge  feature aggregation  convolutional neural networks  
Scene Recognition With Prototype-Agnostic Scene Layout 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 5877-5888
作者:  Chen, Gongwei;  Song, Xinhang;  Zeng, Haitao;  Jiang, Shuqiang
收藏  |  浏览/下载：39/0  |  提交时间：2020/12/10
Layout  Semantics  Prototypes  Image recognition  Convolution  Neural networks  Deformable models  Scene classification  convolution neural networks  graph neural networks  scene layout  
Image Representations With Spatial Object-to-Object Relations for RGB-D Scene Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 525-537
作者:  Song, Xinhang;  Jiang, Shuqiang;  Wang, Bohan;  Chen, Chengpeng;  Chen, Gongwei
收藏  |  浏览/下载：41/0  |  提交时间：2020/12/10
Feature extraction  Object detection  Image recognition  Layout  Data models  Recurrent neural networks  Scene recognition  object-to-object relation  sequential representations  RGB-D  object detection  
Know More Say Less: Image Captioning Based on Scene Graphs 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 8, 页码: 2117-2130
作者:  Li, Xiangyang;  Jiang, Shuqiang
收藏  |  浏览/下载：76/0  |  提交时间：2019/12/10
Image captioning  scene graph  relationship  long short-term network  attention mechanism  vision-language  
Instance-level object retrieval via deep region CNN 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 10, 页码: 13247-13261
作者:  Mei, Shuhuan;  Min, Weiqing;  Duan, Hua;  Jiang, Shuqiang
收藏  |  浏览/下载：74/0  |  提交时间：2019/08/16
Faster R-CNN  Deep learning  Instance-level object retrieval  Instre  
Deep Patch Representations with Shared Codebook for Scene Classification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2019, 卷号: 15, 期号: 1, 页码: 17
作者:  Jiang, Shuqiang;  Chen, Gongwei;  Song, Xinhang;  Liu, Linhu
收藏  |  浏览/下载：71/0  |  提交时间：2019/04/03
Scene classification  convolutional neural network  feature encoding  shared codebook  
Learning Effective RGB-D Representations for Scene Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 2, 页码: 980-993
作者:  Song, Xinhang;  Jiang, Shuqiang;  Herranz, Luis;  Chen, Chengpeng
收藏  |  浏览/下载：71/0  |  提交时间：2019/04/03
Scene recognition  deep learning  multimodal  RGB-D  video  CNN  RNN  
Multi-Scale Multi-Feature Context Modeling for Scene Recognition in the Semantic Manifold 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 6, 页码: 2721-2735
作者:  Song, Xinhang;  Jiang, Shuqiang;  Herranz, Luis
收藏  |  浏览/下载：51/0  |  提交时间：2019/12/12
Scene recognition  semantic manifold  semantic multinomial  multi-scale  context model  Markov random field  convolutional neural networks