4 accepted papers
Light scattering and absorption degrade the quality of underwater images, and various image enhancement methods have been explored. However, the existing underwater image datasets lack corresponding high-quality references, and the degree of scattering and absorption is not strictly controlled. In t…
Most previous embedding-based methods for anomaly detection directly utilize the visual features extracted from pretrained CNN network. However, there usually exists a gap of domain between pretrained data and target data in anomaly detection. To alleviate this discrepancy, we introduce ReconFA in t…
There are two key issues that limit further improvements in the performance of existing rotational detectors: 1) Periodic sudden change of the parameters in the rotating bounding box (RBBox) definition causes a numerical discontinuity in the loss (such as smoothL1 loss). 2) There is a gap of optimiz…
A mass of experiments shows that the pose of the input 3D models exerts a tremendous influence on automatic 3D shape analysis. In this paper, we propose Upright-Net, a deep-learning-based approach for estimating the upright orientation of 3D point clouds. Based on a well-known postulate of design st…