Search Results for author:
Found 9 papers, 6 papers with code
An active learning model to classify animal species in Hong Kong
Camera traps are used by ecologists globally as an efficient and non-invasive method to monitor animals.
Generalized Correspondence Matching via Flexible Hierarchical Refinement and Patch Descriptor Distillation
Taking into account the practical applicability of our method in real-world robotics applications, we also propose a novel patch descriptor distillation strategy to further reduce the computational complexity of correspondence matching.
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.
LCE-Calib: Automatic LiDAR-Frame/Event Camera Extrinsic Calibration With A Globally Optimal Solution
This paper proposes an automatic checkerboard-based approach to calibrate extrinsics between a LiDAR and a frame/event camera, where four contributions are presented.
Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms
Computer vision algorithms have been prevalently utilized for 3-D road imaging and pothole detection for over two decades.
Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation
Therefore, this paper mainly explores an effective training data augmentation approach that can be employed to improve the overall DCNN performance, when additional images captured from different views are available.
Fast Symbolic 3D Registration Solution
3D registration has always been performed invoking singular value decomposition (SVD) or eigenvalue decomposition (EIG) in real engineering practices.
Saliency Pattern Detection by Ranking Structured Trees
We show that the linear combination of structured labels can well model the saliency distribution in local regions.
