Abstract: Aiming at the problems of inaccurate recognition results and large deviation of object orientation detection when object detection is carried out by 3D Lidar during auto driving, a object ...

Abstract: Oriented object detection has attained remarkable progress in addressing the challenges associated with rotating invariant feature extraction. However, most existing object detection most ...

then you can perform global matching (e.g., cosine similarity) or local matching (e.g., L2 loss) to obtain the matching results (referred to as the cost volume in this paper). These results can be ...

DualGazeNet is a biologically inspired Transformer framework for salient object detection, designed with dual-path processing inspired by the human visual system. It achieves state-of-the-art ...