中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共94条，第1-10条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 9, 页码: 4616-4629
作者:  Ma, Chengcheng;  Liu, Yang;  Deng, Jiankang;  Xie, Lingxi;  Dong, Weiming;  Xu, Changsheng
Adobe PDF(1644Kb)  |  收藏  |  浏览/下载：88/11  |  提交时间：2023/11/16
Vision-language model  prompt tuning  over-fitting  subspace learning  gradient projection  
TENET: Beyond Pseudo-Labeling for Semi-supervised Few-shot Learning 期刊论文
Machine Intelligence Research, 2023, 页码: 0
作者:  Ma CC(马成丞);  Dong WM(董未名);  Xu CS(徐常胜)
Adobe PDF(741Kb)  |  收藏  |  浏览/下载：92/22  |  提交时间：2024/01/29
Semi-supervised few-shot learning  few-shot learning  pseudo-labeling  linear regression  low-rank reconstruction  
Recovering Generalization via Pre-training-like Knowledge Distillation for Out-of-Distribution Visual Question Answering 期刊论文
IEEE Transactions on Multimedia, 2023, 页码: 1-15
作者:  Song, Yaguang;  Yang, Xiaoshan;  Wang, Yaowei;  Xu, Changsheng
Adobe PDF(2397Kb)  |  收藏  |  浏览/下载：157/42  |  提交时间：2023/06/12
Multi-modal Foundation Model  Out-of-Distribution Generalization  Visual Question Answering  Knowledge Distillation  
Self-supervised Calorie-aware Heterogeneous Graph Networks for Food Recommendation 期刊论文
ACM Transactions on Multimedia Computing, Communications, and Applications, 2023, 卷号: 19, 期号: 1s, 页码: 1-23
作者:  Song, Yaguang;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(1381Kb)  |  收藏  |  浏览/下载：160/53  |  提交时间：2023/06/12
Food recommendation  recipe calories  heterogeneous graph  selfsupervised learning  
Towards Corruption-Agnostic Robust Domain Adaptation 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2022, 卷号: 18, 期号: 4, 页码: 16
作者:  Xu, Yifan;  Sheng, Kekai;  Dong, Weiming;  Wu, Baoyuan;  Xu, Changsheng;  Hu, Bao-Gang
Adobe PDF(2116Kb)  |  收藏  |  浏览/下载：385/83  |  提交时间：2022/06/10
Domain adaptation  corruption robustness  transfer learning  
Learning Hierarchical Video Graph Networks for One-Stop Video Delivery 期刊论文
ACM Transactions on Multimedia Computing, Communications, and Applications, 2022, 卷号: 18, 期号: 1, 页码: 1-23
作者:  Song, Yaguang;  Gao, Junyu;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(7608Kb)  |  收藏  |  浏览/下载：130/40  |  提交时间：2023/04/25
Cross modal  video retrieval  deep learning  graph neural networks  
Holographic Feature Learning of Egocentric-Exocentric Videos for Multi-Domain Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2273-2286
作者:  Huang, Yi;  Yang, Xiaoshan;  Gao, Junyun;  Xu, Changsheng
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载：301/61  |  提交时间：2022/07/25
Videos  Feature extraction  Visualization  Task analysis  Computational modeling  Target recognition  Prototypes  Egocentric videos  exocentric videos  holographic feature  multi-domain  action recognition  
Weakly-Supervised Video Object Grounding Via Learning Uni-Modal Associations 期刊论文
IEEE Transactions on Multimedia, 2022, 卷号: 25, 页码: 1-12
作者:  Wang, Wei;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(5406Kb)  |  收藏  |  浏览/下载：80/22  |  提交时间：2023/04/25
Visualization  Grounding  Task analysis  Prototypes  Annotations  Uncertainty  Proposals  Cross-modal retrieval  weakly-supervised learning  video object grounding  uni-modal association  
Transformers in computational visual media: A survey 期刊论文
Computational Visual Media, 2021, 卷号: 8, 期号: 1, 页码: 33-62
作者:  Xu,Yifan;  Wei,Huapeng;  Lin,Minxuan;  Deng,Yingying;  Sheng,Kekai;  Zhang,Mengdan;  Tang,Fan;  Dong,Weiming;  Huang,Feiyue;  Xu,Changsheng
Adobe PDF(5366Kb)  |  收藏  |  浏览/下载：259/33  |  提交时间：2021/12/28
visual transformer  computational visual media (CVM)  high-level vision  low-level vision  image generation  multi-modal learning  
Multimodal Global Relation Knowledge Distillation for Egocentric Action Anticipation 会议论文
MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Chengdu, China, 2021.10.20—2021.10.24
作者:  Huang Yi;  Yang Xiaoshan;  Xu Changsheng
Adobe PDF(1162Kb)  |  收藏  |  浏览/下载：139/56  |  提交时间：2023/06/21