Improved MTCNN face detection algorithm fused with context features
The multi-task convolutional neural network (MTCNN) face detection algorithm has a low detection rate of small faces in classroom scenes. An improved MTCNN algorithm that integrates context features was thus proposed. Firstly, the context convolution module was integrated with the R-Net layer networ...
| Published in: | Xi'an Gongcheng Daxue xuebao |
|---|---|
| Main Authors: | Meihua GU, Jing FENG, Na YANG |
| Format: | Article |
| Language: | Chinese |
| Published: |
Editorial Office of Journal of XPU
2021-12-01
|
| Subjects: | |
| Online Access: | http://journal.xpu.edu.cn/en/#/digest?ArticleID=1132 |
Similar Items
Combining MTCNN and Enhanced FaceNet with Adaptive Feature Fusion for Robust Face Recognition
by: Sasan Karamizadeh, et al.
Published: (2025-10-01)
by: Sasan Karamizadeh, et al.
Published: (2025-10-01)
Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50
by: Eiman Wahab, et al.
Published: (2025-01-01)
by: Eiman Wahab, et al.
Published: (2025-01-01)
Ghost Module-Enhanced MTCNN: A Lightweight Cascade Framework for High-Accuracy Face Detection in Edge-Deployable Scenarios
by: Chen Wang, et al.
Published: (2025-01-01)
by: Chen Wang, et al.
Published: (2025-01-01)
Emotional context can reduce the negative impact of face masks on inferring emotions
by: Sarah D. McCrackin, et al.
Published: (2022-09-01)
by: Sarah D. McCrackin, et al.
Published: (2022-09-01)
COMBINING DEEP RESIDUAL NEURAL NETWORK FEATURES WITH SUPERVISED MACHINE LEARNING ALGORITHMS FOR REAL-TIME FACE RECOGNITION-BASED INTELLIGENT SYSTEMS
by: M Lakshaga Jyothi, et al.
Published: (2021-11-01)
by: M Lakshaga Jyothi, et al.
Published: (2021-11-01)
An improved non-perceptual VIPLFaceNet face recognition algorithm for classroom attendance system
by: Xiaolong LIU, et al.
Published: (2021-02-01)
by: Xiaolong LIU, et al.
Published: (2021-02-01)
Comparative Analysis of MTCNN and Haar Cascades for Face Detection in Images with Variation in Yaw Poses and Facial Occlusions
by: Omer Abdulhaleem Naser, et al.
Published: (2025-03-01)
by: Omer Abdulhaleem Naser, et al.
Published: (2025-03-01)
Multi-supervision Face Liveness Detection Algorithm Fused with Multi-scale Feature
by: CHEN Suyang, SONG Xiaoning
Published: (2022-12-01)
by: CHEN Suyang, SONG Xiaoning
Published: (2022-12-01)
Face-to-face promotive interaction leading to successful cooperative learning: A review study
by: Selma Dzemidzic Kristiansen, et al.
Published: (2019-01-01)
by: Selma Dzemidzic Kristiansen, et al.
Published: (2019-01-01)
DBCA-Net: A Dual-Branch Context-Aware Algorithm for Cattle Face Segmentation and Recognition
by: Xiaopu Feng, et al.
Published: (2025-02-01)
by: Xiaopu Feng, et al.
Published: (2025-02-01)
Face recognition method based on convolutional neural network and distributed computing
by: Liu Yanyu, et al.
Published: (2025-04-01)
by: Liu Yanyu, et al.
Published: (2025-04-01)
High Emotional Similarity Will Enhance the Face Memory and Face-Context Associative Memory
by: Shu An, et al.
Published: (2022-05-01)
by: Shu An, et al.
Published: (2022-05-01)
Feature Extraction Methods for Real-Time Face Detection and Classification
by: Masip David, et al.
Published: (2005-01-01)
by: Masip David, et al.
Published: (2005-01-01)
Students’ engagement in a hybrid classroom: a comparison between face-to-face and virtual environments
by: Sian Hoon Teoh, et al.
Published: (2025-12-01)
by: Sian Hoon Teoh, et al.
Published: (2025-12-01)
Lightweight face image restoration algorithm based on multi-scale feature fusion
by: ZHAO Xiao, et al.
Published: (2024-08-01)
by: ZHAO Xiao, et al.
Published: (2024-08-01)
Lightweight face image restoration algorithm based on multi-scale feature fusion
by: ZHAO Xiao, et al.
Published: (2024-08-01)
by: ZHAO Xiao, et al.
Published: (2024-08-01)
Face recognition based on the fusion of global and local HOG features of face images
by: Hengliang Tan, et al.
Published: (2014-06-01)
by: Hengliang Tan, et al.
Published: (2014-06-01)
Forgery Face Detection Based on Multi-scale Transformer Fusing Multi-domain Information
by: MA Xin, JI Lixin, LI Shaomei
Published: (2023-10-01)
by: MA Xin, JI Lixin, LI Shaomei
Published: (2023-10-01)
Feature Interaction-Based Face De-Morphing Factor Prediction for Restoring Accomplice’s Facial Image
by: Juan Cai, et al.
Published: (2024-08-01)
by: Juan Cai, et al.
Published: (2024-08-01)
Face recognition in dense crowd using deep learning approaches with IP camera
by: Sobhana Mummaneni, et al.
Published: (2025-06-01)
by: Sobhana Mummaneni, et al.
Published: (2025-06-01)
Impaired Face Feature-to-Location Statistical Learning and Single-Feature Discrimination in Developmental Prosopagnosia
by: John R. Towler, et al.
Published: (2024-08-01)
by: John R. Towler, et al.
Published: (2024-08-01)
Understanding of facial features in face perception: insights from deep convolutional neural networks
by: Qianqian Zhang, et al.
Published: (2024-04-01)
by: Qianqian Zhang, et al.
Published: (2024-04-01)
Face Recognition and Determination in Color Images
by: Manar Kashmola, et al.
Published: (2009-03-01)
by: Manar Kashmola, et al.
Published: (2009-03-01)
Determinants of Face Recognition: The Role of Target Prevalence and Similarity
by: Lionel Boudry, et al.
Published: (2024-02-01)
by: Lionel Boudry, et al.
Published: (2024-02-01)
ControlFace: Feature Disentangling for Controllable Face Swapping
by: Xuehai Zhang, et al.
Published: (2024-01-01)
by: Xuehai Zhang, et al.
Published: (2024-01-01)
Analysis of the Use of MTCNN and Landmark Technology to Improve the Accuracy of Facial Recognition on Official Documents
by: Ferri Rama Chandra, et al.
Published: (2025-01-01)
by: Ferri Rama Chandra, et al.
Published: (2025-01-01)
A comparative study of critical thinking implementation in face-to-face and online classrooms: Medical students’ critical thinking and reading comprehension
by: Zohreh Ghorbani, et al.
Published: (2024-07-01)
by: Zohreh Ghorbani, et al.
Published: (2024-07-01)
Face-to-Face or Flipped Learning Classroom: Which Method Enhances Iranian EFL Sixth-Grade Students’ Self-Efficacy in Virtual Learning Environment?
by: Vahid Norouzi Larsari, et al.
Published: (2024-11-01)
by: Vahid Norouzi Larsari, et al.
Published: (2024-11-01)
FACIAL DETECTION IN COMPUTER VISION: BRIDGING GAP BETWEEN CNN, HAAR CASCADE AND MTCNN
by: Nipun Singhal, et al.
Published: (2025-03-01)
by: Nipun Singhal, et al.
Published: (2025-03-01)
Faces in context: A review and systematization of contextual influences on affective face processing
by: Matthias J Wieser, et al.
Published: (2012-11-01)
by: Matthias J Wieser, et al.
Published: (2012-11-01)
Fusion Methods for Face Presentation Attack Detection
by: Faseela Abdullakutty, et al.
Published: (2022-07-01)
by: Faseela Abdullakutty, et al.
Published: (2022-07-01)
Multi-Feature Fusion Based Deepfake Face Forgery Video Detection
by: Zhimao Lai, et al.
Published: (2022-03-01)
by: Zhimao Lai, et al.
Published: (2022-03-01)
Fusing the facial temporal information in videos for face recognition
by: Ithayarani Panner Selvam, et al.
Published: (2016-10-01)
by: Ithayarani Panner Selvam, et al.
Published: (2016-10-01)
Small-Scale Face Detection Based on Improved R-FCN
by: Chaowei Tang, et al.
Published: (2020-06-01)
by: Chaowei Tang, et al.
Published: (2020-06-01)
Region-Aware Deep Feature-Fused Network for Robust Facial Landmark Localization
by: Xuxin Lin, et al.
Published: (2023-09-01)
by: Xuxin Lin, et al.
Published: (2023-09-01)
Occluded Face Recognition Network Based on Deep Feature Suppression
by: Fuping WANG, Hongwei LIU, Qieshi ZHANG, Guanzhuang DUAN
Published: (2024-08-01)
by: Fuping WANG, Hongwei LIU, Qieshi ZHANG, Guanzhuang DUAN
Published: (2024-08-01)
Multi-Scale Feature Fusion and Structure-Preserving Network for Face Super-Resolution
by: Dingkang Yang, et al.
Published: (2023-08-01)
by: Dingkang Yang, et al.
Published: (2023-08-01)
Sheep Face Recognition Model Based on Deep Learning and Bilinear Feature Fusion
by: Zhuang Wan, et al.
Published: (2023-06-01)
by: Zhuang Wan, et al.
Published: (2023-06-01)
A Bayesian Scene-Prior-Based Deep Network Model for Face Verification
by: Huafeng Wang, et al.
Published: (2018-06-01)
by: Huafeng Wang, et al.
Published: (2018-06-01)
Heatmap-Guided Selective Feature Attention for Robust Cascaded Face Alignment
by: Jaehyun So, et al.
Published: (2023-05-01)
by: Jaehyun So, et al.
Published: (2023-05-01)
Similar Items
-
Combining MTCNN and Enhanced FaceNet with Adaptive Feature Fusion for Robust Face Recognition
by: Sasan Karamizadeh, et al.
Published: (2025-10-01) -
Robust Face Detection and Identification under Occlusion using MTCNN and RESNET50
by: Eiman Wahab, et al.
Published: (2025-01-01) -
Ghost Module-Enhanced MTCNN: A Lightweight Cascade Framework for High-Accuracy Face Detection in Edge-Deployable Scenarios
by: Chen Wang, et al.
Published: (2025-01-01) -
Emotional context can reduce the negative impact of face masks on inferring emotions
by: Sarah D. McCrackin, et al.
Published: (2022-09-01) -
COMBINING DEEP RESIDUAL NEURAL NETWORK FEATURES WITH SUPERVISED MACHINE LEARNING ALGORITHMS FOR REAL-TIME FACE RECOGNITION-BASED INTELLIGENT SYSTEMS
by: M Lakshaga Jyothi, et al.
Published: (2021-11-01)
