DG-YOLO: Elevating Smoke-Fire Object Detection with Dual-Channel Grouped Convolution Based on YOLOv5.
Yun HeJunjie HuMing ZengYingjing QianRenmin ZhangPublished in: ICEITSA (2023)
Keyphrases
- dual channel
- object detection
- digital government
- object class
- face detection
- object segmentation
- computer vision
- convolution kernel
- scene understanding
- multi class
- background subtraction
- pedestrian detection
- image processing
- object classification
- object recognition
- human detection
- discrete fourier transform
- smoke detection
- discriminatively trained
- object categories
- mesh connected
- image parsing
- moving objects
- vision system
- project highlights
- deformable part models
- linear filtering
- matrix multiplication
- fir filters
- neural network
- multiscale