Guided collaborative training for pixel-wise semi-supervised learning

Z Ke, D Qiu, K Li, Q Yan, RWH Lau - … , Glasgow, UK, August 23–28, 2020 …, 2020 - Springer
We investigate the generalization of semi-supervised learning (SSL) to diverse pixel-wise
tasks. Although SSL methods have achieved impressive results in image classification, the …

Crime investigation using DCGAN by forensic sketch-to-face transformation (STF)-a review

SN Bushra, KU Maheswari - 2021 5th International Conference …, 2021 - ieeexplore.ieee.org
This paper outlines about the most advanced technique of Artificial Intelligence for digitally
ascertaining a criminal through facial recognition system by converting forensic sketch into a …

Knowledge distillation for face photo–sketch synthesis

M Zhu, J Li, N Wang, X Gao - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
Significant progress has been made with face photo–sketch synthesis in recent years due to
the development of deep convolutional neural networks, particularly generative adversarial …

Face sketch synthesis using regularized broad learning system

P Li, B Sheng, CLP Chen - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
There are two main categories of face sketch synthesis: data-and model-driven. The data-
driven method synthesizes sketches from training photograph–sketch patches at the cost of …

Dual conditional normalization pyramid network for face photo-sketch synthesis

M Zhu, Z Wu, N Wang, H Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Face photo-sketch synthesis has undergone remarkable progress with the rapid
development of deep learning techniques. Cutting-edge methods directly learn the cross …

15m multimodal facial image-text dataset

D Dai, YT Li, YG Liu, M Jia, Z YuanHui… - arxiv preprint arxiv …, 2024 - arxiv.org
Currently, image-text-driven multi-modal deep learning models have demonstrated their
outstanding potential in many fields. In practice, tasks centered around facial images have …

[PDF][PDF] A Sketch-Transformer Network for Face Photo-Sketch Synthesis.

M Zhu, C Liang, N Wang, X Wang, Z Li, X Gao - IJCAI, 2021 - ijcai.org
We present a face photo-sketch synthesis model, which converts a face photo into an artistic
face sketch or recover a photo-realistic facial image from a sketch portrait. Recent progress …

Protecting prostate cancer classification from rectal artifacts via targeted adversarial training

L Hu, D Zhou, J Xu, C Lu, C Han, Z Shi… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Magnetic resonance imaging (MRI)-based deep neural networks (DNN) have been widely
developed to perform prostate cancer (PCa) classification. However, in real-world clinical …

IsGAN: Identity-sensitive generative adversarial network for face photo-sketch synthesis

L Yan, W Zheng, C Gou, FY Wang - Pattern Recognition, 2021 - Elsevier
Face photo-sketch synthesis aims to generate face sketches from real photos and vice
versa. It can be abstracted as a constrained quantization problem. Although many efforts …

Semi-supervised Cycle-GAN for face photo-sketch translation in the wild

C Chen, W Liu, X Tan, KYK Wong - Computer Vision and Image …, 2023 - Elsevier
The performance of face photo-sketch translation has improved a lot thanks to deep neural
networks. GAN based methods trained on paired images can produce high-quality results …