May 30, 2022 · In this paper, we describe the co-learning mechanism to detect the engineering vehicles, which can effectively use for the external invasion risk early warning.

We then compare the performance of the coLADs we have experimented with other methods, including the recently proposed single-stage detector label allocation ...

In this paper, we describe the co-learning mechanism to detect the engineering vehicles, which can effectively use for the external invasion risk early warning.

Target Detection of Engineering Vehicles Based on Co-learning Labels ... To read the full-text of this research, you can request a copy directly from the authors.

Oct 22, 2024 · This paper focuses on the application of deep learning in vehicle recognition problems, and is committed to finding a vehicle recognition algorithm with high ...

In this paper, we propose an RSN cooperative target recognition method based on global discriminant information and local geometrical structure co-learning.

In this paper, a robust object detection and classification algorithm based on millimeter-wave (MMW) radar and camera fusion is proposed.

By adopting the co-learning technology, the unlabelled samples which are generated during tracking are utilized to progressively modify the SVM detector and ...

Aug 30, 2024 · This research introduces an innovative technique for classifying and recognizing vehicles in aerial image sequences.

In this paper, a model of vehicle detection and direction determination based on ResNet-101+FPN backbone network and RetinaNet is built by using convolutional ...