Improving LiDAR classification accuracy by contextual label smoothing in post-processing
Sign Up to like & getrecommendations! Published in 2019 at "ISPRS Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2018.11.022
Abstract: Abstract We propose a contextual label-smoothing method to improve the LiDAR classification accuracy in a post-processing step. Under the framework of global graph-structured regularization, we enhance the effectiveness of label smoothing from two aspects. First,… read more here.
Keywords: label; accuracy; contextual label; label smoothing ... See more keywords
A Novel Sensor-Based Label-Smoothing Technique for Machine State Degradation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2023.3263634
Abstract: Due to the rise of Industry 4.0, machinery health prognosis has become one of the primary objectives of machine maintenance. Long-term operating machines gradually age over time, resulting in machine degradation and lower production yields.… read more here.
Keywords: machine degradation; machine; transition region; model ... See more keywords
Multi-scale information fusion network with label smoothing strategy for corneal ulcer classification in slit lamp images
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.993234
Abstract: Corneal ulcer is the most common symptom of corneal disease, which is one of the main causes of corneal blindness. The accurate classification of corneal ulcer has important clinical importance for the diagnosis and treatment… read more here.
Keywords: information; multi scale; classification; scale information ... See more keywords
Aerial Scene Classification through Fine-Tuning with Adaptive Learning Rates and Label Smoothing
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10175792
Abstract: Remote Sensing (RS) image classification has recently attracted great attention for its application in different tasks, including environmental monitoring, battlefield surveillance, and geospatial object detection. The best practices for these tasks often involve transfer learning… read more here.
Keywords: classification; image; fine tuning; learning rates ... See more keywords