A multi-stage data augmentation and AD-ResNet-based method for EPB utilization factor prediction
Building a high-accuracy utilization factor prediction model for tunnel boring machine with
limited available data is a research challenge. To solve the problem mentioned above, a …
limited available data is a research challenge. To solve the problem mentioned above, a …
Latent-OFER: detect, mask, and reconstruct with latent vectors for occluded facial expression recognition
Most research on facial expression recognition (FER) is conducted in highly controlled
environments, but its performance is often unacceptable when applied to real-world …
environments, but its performance is often unacceptable when applied to real-world …
Face-mask-aware facial expression recognition based on face parsing and vision transformer
As wearing face masks is becoming an embedded practice due to the COVID-19 pandemic,
facial expression recognition (FER) that takes face masks into account is now a problem that …
facial expression recognition (FER) that takes face masks into account is now a problem that …
Dynamic facial expression recognition under partial occlusion with optical flow reconstruction
Video facial expression recognition is useful for many applications and received much
interest lately. Although some methods give good results in controlled environments (no …
interest lately. Although some methods give good results in controlled environments (no …
[PDF][PDF] 多区域融合轻量级人脸表情识别网络
唐宏， 向俊玲， 陈海涛， 吕榕城， 夏泽昊 - Laser & Optoelectronics …, 2023 - researching.cn
摘要由于人脸表情特有的微妙性和复杂性, 对全局面部进行研究时无法突出表情特性.
为了增强表情识别在自然环境下的鲁棒性并且优化模型参数, 提出一种基于多区域融合的轻量级 …
为了增强表情识别在自然环境下的鲁棒性并且优化模型参数, 提出一种基于多区域融合的轻量级 …
Application of generative adversarial networks in image, face reconstruction and medical imaging: challenges and the current progress
S Sabnam, S Rajagopal - Computer Methods in Biomechanics and …, 2024 - Taylor & Francis
ABSTRACT In deep learning, GANs (Generative Adversarial Networks) are one of the
prominent study areas due to their ability to generate synthetic data thereby solving the …
prominent study areas due to their ability to generate synthetic data thereby solving the …
Face mask aware robust facial expression recognition during the covid-19 pandemic
B Yang, W Jianming, G Hattori - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Wearing face masks is considered an effective means of preventing the transmission of
coronavirus during the COVID-19 pandemic. Facial expression recognition (FER) under …
coronavirus during the COVID-19 pandemic. Facial expression recognition (FER) under …
Occlusion-aware spatial attention transformer for occluded object recognition
Object classification under partial occlusion has been challenging for deep convolutional
neural networks due to their innate locality in extracting features. We propose an Occlusion …
neural networks due to their innate locality in extracting features. We propose an Occlusion …
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors
Automatic facial expression recognition is a big challenge in human–computer interaction.
Analyzing the changes in the face during a facial expression can be used for this purpose. In …
Analyzing the changes in the face during a facial expression can be used for this purpose. In …
Occluded facial expression recognition using self-supervised learning
J Wang, H Ding, S Wang - Proceedings of the Asian …, 2022 - openaccess.thecvf.com
Recent studies on occluded facial expression recognition typically required fully expression-
annotated facial images for training. However, it is time consuming and expensive to collect …
annotated facial images for training. However, it is time consuming and expensive to collect …