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AIF-LFNet: All-in-Focus Light Field Super-Resolution Method Considering the Depth-Varying Defocus 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 8, 页码: 3976-3988
作者:  Zhou, Shubo;  Hu, Liang;  Wang, Yunlong;  Sun, Zhenan;  Zhang, Kunbo;  Jiang, Xue-Qin
收藏  |  浏览/下载：130/0  |  提交时间：2023/11/17
Light field imaging  super-resolution  depth-varying defocus  dataset  convolutional neural network  
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：151/21  |  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