CASIA OpenIR

浏览/检索结果: 共5条,第1-5条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
Exploring Explicitly Disentangled Features for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373
作者:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
Adobe PDF(2432Kb)  |  收藏  |  浏览/下载:119/11  |  提交时间:2023/12/21
Domain generalization  feature disentanglement  Fourier transform  data augmentation  
Dual Transformer With Multi-Grained Assembly for Fine-Grained Visual Classification 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 9, 页码: 5009-5021
作者:  Ji, Ruyi;  Li, Jiaying;  Zhang, Libo;  Liu, Jing;  Wu, Yanjun
Adobe PDF(4636Kb)  |  收藏  |  浏览/下载:161/12  |  提交时间:2023/11/16
Transformer  multi-grained assembly  fine-grained visual classification  
Robust Texture-Aware Local Adaptive Image Watermarking With Perceptual Guarantee 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 9, 页码: 4660-4674
作者:  Huang, Ying;  Guan, Hu;  Liu, Jie;  Zhang, Shuwu;  Niu, Baoning;  Zhang, Guixuan
收藏  |  浏览/下载:116/0  |  提交时间:2023/11/16
Adaptive  image watermarking  image texture  imperceptibility  robustness  
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:152/21  |  提交时间:2023/11/16
Vision-language model  prompt tuning  over-fitting  subspace learning  gradient projection  
MoEP-AE: Autoencoding Mixtures of Exponential Power Distributions for Open-Set Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 1, 页码: 312-325
作者:  Jiayin, Sun;  Hong, Wang;  Qiulei, Dong
Adobe PDF(3639Kb)  |  收藏  |  浏览/下载:142/12  |  提交时间:2023/03/20
open-set recognition  autoencoder  scale mixture distribution  exponential power distribution