1 code implementation • 31 Dec 2023 • Liang Wang, Dawei Dai, Shiyu Fu, Guoyin Wang
In specific scenarios, face sketch can be used to identify a person.
1 code implementation • 11 Feb 2023 • Dawei Dai, Yutang Li, Liang Wang, Shiyu Fu, Shuyin Xia, Guoyin Wang
In this study, we proposed a new task named sketch less face image retrieval (SLFIR), in which the retrieval was carried out at each stroke and aim to retrieve the target face photo using a partial sketch with as few strokes as possible (see Fig. 1).
no code implementations • 17 Jul 2022 • Dawei Dai, Donggen Li, Zhiguo Zhuang
In this paper, we pioneered a granular ball neural network algorithm model, which adopts the idea of multi-granular to filter label noise samples during model training, solving the current problem of model instability caused by label noise in the field of deep learning, greatly reducing the proportion of label noise in training samples and improving the robustness of neural network models.
no code implementations • 17 Mar 2022 • Dawei Dai, Chunjie Wang, Shuyin Xia, Yingge Liu, Guoyin Wang
Edge detection, a basic task in the field of computer vision, is an important preprocessing operation for the recognition and understanding of a visual scene.
no code implementations • 13 Jan 2022 • Dawei Dai, Xiaoyu Tang, Shuyin Xia, Yingge Liu, Guoyin Wang, Zizhong Chen
We consider that there is a significant correlation among these incomplete sketches in the sketch drawing episode of each photo.
no code implementations • 3 Nov 2021 • Dawei Dai, Yutang Li, Huanan Bao, Sy Xia, Guoyin Wang, Xiaoli Ma
From the results, we conclude that (1) the combined effect of certain features is typically far more influential than any single feature; (2) in different tasks, neural models can perform different biases, that is, we can design a specific task to make a neural model biased toward a specific anticipated feature.
no code implementations • 26 Apr 2017 • Dawei Dai, Weimin Tan, Hong Zhan
Experiments for two types of ANN model including multi-layer MLP and CNN verify that the network flow based on class-pathway is a reasonable explanation for ANN models.