Detection of Farmland Obstacles Based on an Improved YOLOv5s Algorithm by Using CIoU and Anchor Box Scale Clustering.
Jinlin XueFeng ChengYuqing LiYue SongTingting MaoPublished in: Sensors (2022)
Keyphrases
- k means
- detection algorithm
- clustering method
- objective function
- computational complexity
- neural network
- high accuracy
- experimental evaluation
- expectation maximization
- preprocessing
- distance metric
- np hard
- clustering algorithm
- input data
- density based clustering algorithm
- particle swarm optimization
- learning algorithm
- worst case
- computational cost
- similarity measure
- object detection
- data points
- cost function
- significant improvement
- unsupervised learning
- anomaly detection
- lower bound
- image sequences
- data clustering
- fuzzy clustering
- synthetic datasets
- density based clustering
- image segmentation