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Found 6 papers, 1 papers with code
FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space
Considering Convolutional Neural Network (CNN)-based FER schemes frequently prove inadequate in identifying the deep, long-distance dependencies embedded within facial expression images, and the Transformer's inherent quadratic computational complexity, this paper presents the FER-YOLO-Mamba model, which integrates the principles of Mamba and YOLO technologies to facilitate efficient coordination in facial expression image recognition and localization.
Facial Expression Recognition
Facial Expression Recognition (FER)
Integrating Bidirectional Long Short-Term Memory with Subword Embedding for Authorship Attribution
However, character-based methods often fail to capture the sequential relationship of words in texts which is a chasm for further improvement.
Transformation-Invariant Network for Few-Shot Object Detection in Remote Sensing Images
Object detection in remote sensing images relies on a large amount of labeled data for training.
The Wits Intelligent Teaching System: Detecting Student Engagement During Lectures Using Convolutional Neural Networks
To perform contingent teaching and be responsive to students' needs during class, lecturers must be able to quickly assess the state of their audience.
SummaryNet: A Multi-Stage Deep Learning Model for Automatic Video Summarisation
Video summarisation can be posed as the task of extracting important parts of a video in order to create an informative summary of what occurred in the video.
Human Action Recognition using Local Two-Stream Convolution Neural Network Features and Support Vector Machines
This paper proposes a simple yet effective method for human action recognition in video.
