|
|
|
|
|
Marya Butt, Nick Glas, Jaimy Monsuur, Ruben Stoop and Ander de Keijzer
Scoring targets in shooting sports is a crucial and time-consuming task that relies on manually counting bullet holes. This paper introduces an automatic score detection model using object detection techniques. The study contributes to the field of compu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruicheng Gao, Zhancai Dong, Yuqi Wang, Zhuowen Cui, Muyang Ye, Bowen Dong, Yuchun Lu, Xuaner Wang, Yihong Song and Shuo Yan
In this study, a deep-learning-based intelligent detection model was designed and implemented to rapidly detect cotton pests and diseases. The model integrates cutting-edge Transformer technology and knowledge graphs, effectively enhancing pest and disea...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nikolaos Giakoumoglou, Eleftheria-Maria Pechlivani, Nikolaos Frangakis and Dimitrios Tzovaras
Early detection and efficient management practices to control Tuta absoluta (Meyrick) infestation is crucial for safeguarding tomato production yield and minimizing economic losses. This study investigates the detection of T. absoluta infestation on toma...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zijia Yang, Hailin Feng, Yaoping Ruan and Xiang Weng
Timely and accurate identification of tea tree pests is critical for effective tea tree pest control. We collected image data sets of eight common tea tree pests to accurately represent the true appearance of various aspects of tea tree pests. The datase...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jian Song, Zhihong Yu, Guimei Qi, Qiang Su, Jingjing Xie and Wenhang Liu
There are many small objects in UAV images, and the object scale varies greatly. When the SSD algorithm detects them, the backbone network?s feature extraction capabilities are poor; it does not fully utilize the semantic information in the deeper featur...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruixin Ma, Kexin Bao and Yong Yin
Video-based ship object detection has long been a popular research issue that has received attention in the water transportation industry. However, in low-illumination environments, such as at night or in fog, the water environment has a complex variety ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qian Zhang, Jie Ren, Hong Liang, Ying Yang and Lu Chen
Small object detection becomes a challenging problem in computer vision due to low resolution and less feature information. Making full use of high-resolution features is an important factor in improving small object detection. In this paper, to improve ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ho-Won Lee, Kyong-Oh Lee, Ji-Hye Bae, Se-Yeob Kim and Yoon-Young Park
When an indoor disaster occurs, the disaster site can become very difficult to escape from due to the scenario or building. Most people evacuate when a disaster situation occurs, but there are also disaster victims who cannot evacuate and are isolated. I...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeyuan Shao, Hongguang Lyu, Yong Yin, Tao Cheng, Xiaowei Gao, Wenjun Zhang, Qianfeng Jing, Yanjie Zhao and Lunping Zhang
Accurate detection of sea-surface objects is vital for the safe navigation of autonomous ships. With the continuous development of artificial intelligence, electro-optical (EO) sensors such as video cameras are used to supplement marine radar to improve ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuzhi Su, Runbin Chen, Xianjin Fang, Yanmin Zhu, Tian Zhang and Zengbao Xu
This study proposes a novel lightweight grape detection method. First, the backbone network of our method is Uniformer, which captures long-range dependencies and further improves the feature extraction capability. Then, a Bi-directional Path Aggregation...
ver más
|
|
|
|
|
|