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Titlebook: Image and Video Technology; 10th Pacific-Rim Sym Han Wang,Wei Lin,Haoge Jiang Conference proceedings 2023 Springer Nature Switzerland AG 20

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樓主: SPARK
31#
發(fā)表于 2025-3-26 23:13:00 | 只看該作者
,Event-Based Visual Sensing for?Human Motion Detection and Classification at Various Distances, wave to attract attention, human motion is thus a significant cue to identify person in needs. Therefore, in this paper, we aim at detecting and classifying human motion at different depths with low resolution. The task is fulfilled thanks to an event-based sensor and a Spiking Neural Network (SNN)
32#
發(fā)表于 2025-3-27 02:07:26 | 只看該作者
33#
發(fā)表于 2025-3-27 07:53:28 | 只看該作者
,On Skin Lesion Recognition Using Deep Learning: 50 Ways to?Choose Your Model,are skin cancer. It is well known that early detection of skin cancer significantly increases the prognosis of patients. In many cases, however, the absence of clinical devices and qualified experts makes this task very difficult. To overcome this problem, in the last years advanced deep learning te
34#
發(fā)表于 2025-3-27 09:53:27 | 只看該作者
35#
發(fā)表于 2025-3-27 17:00:42 | 只看該作者
36#
發(fā)表于 2025-3-27 20:07:31 | 只看該作者
37#
發(fā)表于 2025-3-27 22:36:58 | 只看該作者
Remote Tiny Weeds Detection, Weed management requires a good understanding of weed inventories and distribution for effective management. Nowadays, cutting-edge research provides improved options for remote weed detection, facilitating broader adoption of these transformational technologies like airborne, drones, and satellite
38#
發(fā)表于 2025-3-28 02:44:05 | 只看該作者
,Combining Multi-vision Embedding in?Contextual Attention for?Vietnamese Visual Question Answering,ds adopt the strategy to extract object regional features, which effectively captures the local context of the image, but on the other hand, causes the loss of global context. Motivated by the strength of Vision Transformer, we propose to extract and combine both global and local contextual visual f
39#
發(fā)表于 2025-3-28 07:30:17 | 只看該作者
Depth Estimation of Traffic Scenes from Image Sequence Using Deep Learning,g the depth. Therefore, the depth estimation of scenes is a crucial step in the obstacle avoidance and pedestrian protection from autonomous vehicles. In this paper, a method for stereo depth estimation based on image sequences is introduced. In this project, we improve the performance of deep learn
40#
發(fā)表于 2025-3-28 12:41:56 | 只看該作者
iffsbildungen, Symbolisierungen und Sinndeutungen in den Geistes- und Kulturwissenschaften bleibt. Angesichts weltweiter Diskurse zur Globalit?t wird exemplarisch nach den Konsequenzen des?.global turn.?für den seit der Aufkl?rung erhobenen Anspruch Europas auf geistes- und kulturwissenschaftliche D
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