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Found 6 papers, 4 papers with code
MambaMOS: LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space Model
In this paper, we propose a novel LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space Model, termed MambaMOS.
Speech Emotion Recognition Via CNN-Transforemr and Multidimensional Attention Mechanism
In this paper, to model local and global information at different levels of granularity in speech and capture temporal, spatial and channel dependencies in speech signals, we propose a Speech Emotion Recognition network based on CNN-Transformer and multi-dimensional attention mechanisms.
YOLO-Ant: A Lightweight Detector via Depthwise Separable Convolutional and Large Kernel Design for Antenna Interference Source Detection
In this article, an antenna dataset is created to address important antenna interference source detection issues and serves as the basis for subsequent research.
MF-MOS: A Motion-Focused Model for Moving Object Segmentation
Moving object segmentation (MOS) provides a reliable solution for detecting traffic participants and thus is of great interest in the autonomous driving field.
Bone Marrow Cell Recognition: Training Deep Object Detection with A New Loss Function
Therefore, it is crucial to study a robust bone marrow cell detection algorithm for a quantitative automatic analysis system.
Robust Edge-Direct Visual Odometry based on CNN edge detection and Shi-Tomasi corner optimization
This solution used CNN edge detection and Shi-Tomasi corner optimization to extract information from the image.
