G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space.
Qi MengShuxin ZhengHuishuai ZhangWei ChenQiwei YeZhi-Ming MaNenghai YuTie-Yan LiuPublished in: ICLR (Poster) (2019)
Keyphrases
- scale invariant
- neural network
- keypoints
- natural images
- scale invariance
- scale space
- multiscale
- object class recognition
- affine invariant
- pattern recognition
- feature transformation
- interest point detectors
- machine learning
- image structure
- multiresolution
- training set
- shape analysis
- invariant features
- classification accuracy
- object recognition
- support vector
- scale invariant features
- translation and scale invariant