1 code implementation • 13 Nov 2021 • Shaoguo Wen, Junle Wang
In this work, we present a simple yet effective unified model for perceptual quality assessment of image and video.
1 code implementation • 27 Jan 2021 • Shaoguo Wen, Suiyi Ling, Junle Wang, Ximing Chen, Lizhi Fang, Yanqing Jing, Patrick Le Callet
Nowadays, with the vigorous expansion and development of gaming video streaming techniques and services, the expectation of users, especially the mobile phone users, for higher quality of experience is also growing swiftly.
no code implementations • 9 Dec 2020 • Jun Wang, Shaoguo Wen, Kaixing Chen, Jianghua Yu, Xin Zhou, Peng Gao, Changsheng Li, Guotong Xie
Active learning generally involves querying the most representative samples for human labeling, which has been widely studied in many fields such as image classification and object detection.
no code implementations • 9 Feb 2020 • Yifeng Ding, Shaoguo Wen, Jiyang Xie, Dongliang Chang, Zhanyu Ma, Zhongwei Si, Haibin Ling
Classifying the sub-categories of an object from the same super-category (e. g. bird species, car and aircraft models) in fine-grained visual classification (FGVC) highly relies on discriminative feature representation and accurate region localization.