[HTML][HTML] BiTNet: a lightweight object detection network for real-time classroom behavior recognition with transformer and bi-directional pyramid network
In this paper, we propose BiTNet, a real-time object detection network, for enhancing
teaching quality and providing feedback through real-time analysis of student behavior in …
teaching quality and providing feedback through real-time analysis of student behavior in …
Cbph-net: A small object detector for behavior recognition in classroom scenarios
Recognizing classroom behavior is crucial for assessing and improving teaching quality.
However, the existing methods for behavior recognition have limited accuracy due to issues …
However, the existing methods for behavior recognition have limited accuracy due to issues …
Student learning behavior recognition incorporating data augmentation with learning feature representation in smart classrooms
A robust and scientifically grounded teaching evaluation system holds significant importance
in modern education, serving as a crucial metric that reflects the quality of classroom …
in modern education, serving as a crucial metric that reflects the quality of classroom …
SLBDetection-Net: Towards closed-set and open-set student learning behavior detection in smart classroom of K-12 education
Through effective analysis of K-12 education students' learning behaviors in the classroom,
it is possible to greatly improve the interaction between teaching and learning, thereby …
it is possible to greatly improve the interaction between teaching and learning, thereby …
Students' classroom behavior detection system incorporating deformable detr with swin transformer and light-weight feature pyramid network
Artificial intelligence (AI) and computer vision technologies have gained significant
prominence in the field of education. These technologies enable the detection and analysis …
prominence in the field of education. These technologies enable the detection and analysis …
[HTML][HTML] SBD-Net: Incorporating Multi-Level Features for an Efficient Detection Network of Student Behavior in Smart Classrooms
Detecting student behavior in smart classrooms is a critical area of research in educational
technology that significantly enhances teaching quality and student engagement. This paper …
technology that significantly enhances teaching quality and student engagement. This paper …
[HTML][HTML] A Study of Classroom Behavior Recognition Incorporating Super-Resolution and Target Detection
X Zhang, J Nie, S Wei, G Zhu, W Dai, C Yang - Sensors, 2024 - mdpi.com
With the development of educational technology, machine learning and deep learning
provide technical support for traditional classroom observation assessment. However, in real …
provide technical support for traditional classroom observation assessment. However, in real …
Learning behavior recognition in smart classroom with multiple students based on YOLOv5
Deep learning-based computer vision technology has grown stronger in recent years, and
cross-fertilization using computer vision technology has been a popular direction in recent …
cross-fertilization using computer vision technology has been a popular direction in recent …
DSARSR: Deep Stacked Auto-encoders Enhanced Robust Speaker Recognition
Speaker recognition is a biometric modality that utilizes the speaker's speech segments to
recognize the identity, determining whether the test speaker belongs to one of the enrolled …
recognize the identity, determining whether the test speaker belongs to one of the enrolled …
Multi-Scale Deformable Transformers for Student Learning Behavior Detection in Smart Classroom
The integration of Artificial Intelligence into the modern educational system is rapidly
evolving, particularly in monitoring student behavior in classrooms, a task traditionally …
evolving, particularly in monitoring student behavior in classrooms, a task traditionally …