Learning Triangular Distribution in Visual World

arXiv:2311.18605v3 Announce Type: replace
Abstract: Convolution neural network is successful in pervasive vision tasks, including label distribution learning, which usually takes the form of learning an injection from the non-linear visual features to the well-defined labels. However, how the discrepancy between features is mapped to the label discrepancy is ambient, and its correctness is not guaranteed.To address these problems, we study the mathematical connection between feature and its label, presenting a general and simple framework for label distribution learning. We …

abstract ambient arxiv convolution convolution neural network cs.cv distribution features form however labels linear mapped network neural network non-linear tasks type vision visual world