1 code implementation • 6 Mar 2024 • Zhaoran Zhao, Peng Lu, Xujun Peng, Wenhao Guo
This shortfall makes the learning process for photographic image layouts suboptimal.
no code implementations • 15 Oct 2020 • Peng Lu, Jiahui Liu, Xujun Peng, Xiaojie Wang
In order to tackle this problem, a weakly supervised cropping frame- work is proposed, where the distribution dissimilarity between high quality images and cropped images is used to guide the coordinate predictor’s training and the ground truths of cropping windows are not required by the proposed method.
2 code implementations • 2 Jul 2019 • Peng Lu, Hao Zhang, Xujun Peng, Xiaofu Jin
In this paper, we primarily focus on improving the accuracy of automatic image cropping, and on further exploring its potential in public datasets with high efficiency.
no code implementations • 26 Dec 2013 • Peng Lu, Xujun Peng, Xinshan Zhu, Xiaojie Wang
To effectively retrieve objects from large corpus with high accuracy is a challenge task.