MOAN
发表于 2025-3-28 17:33:05
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粘
发表于 2025-3-28 22:06:40
Improving Road Extraction in Hyperspectral Data with Deep Learning Models,clusion, changing lighting conditions, and blur. To address this issue, this paper proposes a new model that combines the advantages of U-net and Transformer architectures. This hybrid model effectively captures both local and long-range features, thus improving the accuracy and efficiency of road e
Hectic
发表于 2025-3-29 02:52:38
Human Related Information Extraction from Chinese Archive Images,racting and managing image content from archives is still in its early stages, and is primarily focused on recognizing fixed-format archive images. As a result, there is a lack of technology for extracting key personal information applicable to all types of archive images. To address this, we have i
刺激
发表于 2025-3-29 05:00:59
Multi-virtual View Scoring Network for 3D Hand Pose Estimation from a Single Depth Image,al view depth images. By projecting a single depth image through point cloud transformation and using the depth images of multiple virtual views together for hand pose estimation, these methods can effectively improve the estimation accuracy. However, current methods have issues with distorted gener
sundowning
发表于 2025-3-29 07:19:04
Digital Archive Stamp Detection and Extraction, water, fire, and mold, making long-term storage difficult. To address this issue, digital archives have been established for management. As a result, effective storage, detection, extraction, and utilization of archive information has become a focus of attention. This paper focuses on the feature e
Sciatica
发表于 2025-3-29 12:29:32
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轻弹
发表于 2025-3-29 17:14:40
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伪证
发表于 2025-3-29 20:21:41
Improved GR-Convnet for Antipodal Robotic Grasping,level approach of GR-Convnet for the task and propose a neural network with high robustness while maintaining real-time performance. The three improvements include introducing Squeeze and Excitation (SE) blocks, removing Dropout in the final layer, and using Residual Block and Concurrent Spatial and
勉强
发表于 2025-3-30 00:32:40
CS-Net: A Stain Style Transfer Network for Histology Images with CS-Gate Attention,thods on the synthesized IHC-stained images to obtain the final binary mask of the OPC epithelium. The experimental results show that CS-Net can synthesize more stable images with a higher degree of restoration than the GAN-like networks, and the accuracy of the final obtained mask is also better th
共同确定为确
发表于 2025-3-30 06:55:43
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