|
|
|
|
|
Songnan Chen, Mengxia Tang, Ruifang Dong and Jiangming Kan
The semantic segmentation of outdoor images is the cornerstone of scene understanding and plays a crucial role in the autonomous navigation of robots. Although RGB?D images can provide additional depth information for improving the performance of semanti...
ver más
|
|
|
|
|
|
|
|
|
Hui Zhang, Shuai Ji, Mingming Shao, Houxu Pu and Liping Zhang
The purpose of this study was to achieve non-destructive detection of the internal defects of in-shell walnuts using X-ray radiography technology based on improved Faster R-CNN network model. First, the FPN structure was added to the feature-extraction l...
ver más
|
|
|
|
|
|
|
|
|
Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn and Hamid Alinejad-Rokny
Instructors face significant time and effort constraints when grading students? assessments on a large scale. Clustering similar assessments is a unique and effective technique that has the potential to significantly reduce the workload of instructors in...
ver más
|
|
|
|
|
|
|
|
|
Yuhao Lai, Ruijun Ma, Yu Chen, Tao Wan, Rui Jiao and Huandong He
The accurate detection of pineapples of different maturity levels in a complex field environment is the key step to achieving the early yield estimation and mechanized picking of pineapple. This study proposes a target detection model based on the improv...
ver más
|
|
|
|
|
|
|
|
|
Songyuan Li, Hao Zeng, Huanyu Wang and Xi Li
Salient Object Detection (SOD) aims at identifying the most visually distinctive objects in a scene. However, learning a mapping directly from a raw image to its corresponding saliency map is still challenging. First, the binary annotations of SOD impede...
ver más
|
|
|
|