Improved Multiscale Vision Transformers for Classification and Detection.
Yanghao LiChao-Yuan WuHaoqi FanKarttikeya MangalamBo XiongJitendra MalikChristoph FeichtenhoferPublished in: CoRR (2021)
Keyphrases
- multiscale
- image processing
- classification accuracy
- computer vision
- feature extraction
- preprocessing
- support vector machine
- classification scheme
- feature selection
- classification systems
- real time
- neyman pearson
- automatic detection
- detection accuracy
- text classification
- supervised learning
- feature extraction and classification
- canny edge detection
- classification process
- support vector
- support vector machine svm
- decision trees
- machine learning
- microcalcification clusters
- automatic classification
- robust detection
- spam detection
- false alarms
- image representation
- classification models
- detection rate
- classification rules
- machine learning methods
- false positives
- benchmark datasets
- model selection
- vision system
- edge detection
- object detection
- knn
- feature space
- data sets