EC-YOLOX: A Deep-Learning Algorithm for Floating Objects Detection in Ground Images of Complex Water Environments.
Jiaxin HeYong ChengWei WangYakang GuYixuan WangWenjie ZhangAchyut ShankarShitharth SelvarajanSathish A. P. KumarPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2024)
Keyphrases
- detecting objects
- learning algorithm
- bounding box
- image data
- complex background
- input image
- objects represented
- target object
- cluttered images
- image collections
- real world
- complex scenes
- image analysis
- man made
- cluttered scenes
- image database
- partial occlusion
- visual appearance
- multiple objects
- real objects
- test images
- real world scenes
- object detection
- image regions
- detection rate
- image registration
- image features
- object recognition
- image pixels
- background clutter
- object detectors
- visual data
- object models
- image classification
- spatial relationships
- individual objects
- image retrieval
- cluttered background
- traffic signs
- three dimensional
- sample images
- real world objects
- road signs
- edge detection
- object classes
- feature points
- detection algorithm
- viewing angle
- image matching
- fine grained categorization
- geometric constraints
- lighting conditions
- keypoints
- porous media
- multiple images
- intensity variations
- aerial images
- light source
- spatial information
- segmentation algorithm
- d objects
- machine learning