3 accepted papers
Unmanned aerial vehicles equipped with modern vision algorithms are crucial for missions such as reconstruction and target acquisition. However, when deployed in the field, undulating terrain can cause significant fluctuations in image scale and degrade the performance of vision algorithms. Instead
RGB-D semantic segmentation is attracting wide attention due to its better performance than conventional RGB methods. However, most of RGB-D semantic segmentation methods need to acquire the real depth information for segmenting RGB images effectively. Therefore, it is extremely challenging to take…
Bounding box regression is a very effective method to improve the localization accuracy of object detection. Recently, the IoU-based regression losses have been widely used in object detection algorithms. However, we observe that they degenerate seriously in the late training period, leading to slow…