整理 发表于 2025-3-26 21:41:59
On the one hand, for a given MTS prediction model, BasicTS evaluates its ability based on rich datasets and standard pipelines. On the other hand, BasicTS provides users with flexible and extensible interfaces to facilitate convenient designing and exhaustive evaluation of new models. In addition,Mendacious 发表于 2025-3-27 04:29:05
Flora Tassone,Paul J. Hagerman On the one hand, for a given MTS prediction model, BasicTS evaluates its ability based on rich datasets and standard pipelines. On the other hand, BasicTS provides users with flexible and extensible interfaces to facilitate convenient designing and exhaustive evaluation of new models. In addition,superfluous 发表于 2025-3-27 09:11:15
http://reply.papertrans.cn/43/4294/429338/429338_33.pngCRASS 发表于 2025-3-27 10:55:49
http://reply.papertrans.cn/43/4294/429338/429338_34.png保守党 发表于 2025-3-27 13:38:56
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http://reply.papertrans.cn/43/4294/429338/429338_36.pngPelago 发表于 2025-3-27 23:54:46
http://reply.papertrans.cn/43/4294/429338/429338_37.png传授知识 发表于 2025-3-28 02:27:14
Xi Lin,Tetsuo AshizawauTensor) with object detection workloads (i.e., Tiny-YOLO and YOLOv2 with Microsoft COCO dataset). We also characterize a GPU platform (i.e., GTX 1080 Ti) from the three dimensions of accuracy, latency, and energy efficiency. Based on our experimental observations, we find that edge AI processors arAerate 发表于 2025-3-28 08:04:07
http://reply.papertrans.cn/43/4294/429338/429338_39.png食道 发表于 2025-3-28 10:49:36
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