担心 发表于 2025-3-30 11:22:04
http://reply.papertrans.cn/39/3838/383786/383786_51.png费解 发表于 2025-3-30 16:24:43
http://reply.papertrans.cn/39/3838/383786/383786_52.png特征 发表于 2025-3-30 20:04:37
http://reply.papertrans.cn/39/3838/383786/383786_53.pngCommon-Migraine 发表于 2025-3-31 00:37:28
http://reply.papertrans.cn/39/3838/383786/383786_54.png胆小懦夫 发表于 2025-3-31 02:59:43
Tree Leaves Detection Based on Deep Learning,s, namely, Faster R-CNN and YOLOv5, representing two-stage and one-stage algorithms, are employed to conduct tree leaves detection. Our results show that YOLOv5 model obviously outperforms to the Faster R-CNN in the speed of both model training and object detection. The difference between these twoFLUSH 发表于 2025-3-31 05:21:07
Deep Learning in Medical Applications: Lesion Segmentation in Skin Cancer Images Using Modified and motivated researchers to design automatic diagnostic systems. Image segmentation is one of the crucial and challenging steps in the design of a computer-aided diagnosis system owing to the presence of low contrast between skin lesion and background, noise artifacts, color variations, and irregularRespond 发表于 2025-3-31 10:01:33
http://reply.papertrans.cn/39/3838/383786/383786_57.png是突袭 发表于 2025-3-31 13:53:28
http://reply.papertrans.cn/39/3838/383786/383786_58.png发牢骚 发表于 2025-3-31 18:47:17
Traffic Sign Recognition Using Guided Image Filtering,missed detection or incorrect positioning. In this paper, we propose a traffic sign recognition algorithm based on Faster R-CNN and YOLOv5. Firstly, we conduct image preprocessing by using guided image filtering for the input image to remove noises. The processed images are imported into the neural得罪 发表于 2025-3-31 21:39:41
Towards a Generic Bicubic Hermite Mesh Template for Cow Udders,y capture its complexity. In this work we propose a parametric cubic Hermite (CH) based mesh to model the shape of cow udders and teats. The workflow starts from selecting a subset of nodes from the data cloud captured by a depth scanner, and constructing a CH mesh from the nodes. Using a coherent p