Oriented object detection has been developed rapidly in the past few years where rotation
equivariance is crucial for detectors to predict rotated boxes. It is expected that the prediction …

Object detection on panoramic/spherical images has been developed rapidly in the past few
years, where IoU-calculator is a fundamental part of various detector components, ie Label …

Abstract Label Distribution Learning (LDL), as a more general learning setting than generic
single-label and multi-label learning, has been commonly used in computer vision and …

Content-based 360° video editing allows users to manipulate panoramic content for
interaction in a dynamic visual world. However, the current related methods (2D neural …

Rotated object detection is a challenging task due to the difficulties of locating the rotated
objects and separating them effectively from the background. For rotated object prediction …

This paper introduces RankMatch, an innovative approach for Semi-Supervised Label
Distribution Learning (SSLDL). Addressing the challenge of limited labeled data, RankMatch …

Label Distribution Learning (LDL) has been extensively studied in IID data applications such
as computer vision, thanks to its more generic setting over single-label and multi-label …