和音
发表于 2025-3-30 11:45:06
First-Order and Second-Order Variants of the Gradient Descent in a Unified Frameworkradient descent, the classical and generalized Gauss-Newton methods, the natural gradient descent method, the gradient covariance matrix approach, and Newton’s method. Besides interpreting these methods within a single framework, we explain their specificities and show under which conditions some of them coincide.
无关紧要
发表于 2025-3-30 15:38:19
,Meßvorrichtungen und Meßautomaten,be integrated in both single-stage and two-stage detectors to boost detection performance, with nearly no extra inference cost. RetinaNet combined with SMSL obtains 1.8% improvement in AP (from 39.1% to 40.9%) on COCO dataset. When integrated with SMSL, two-stage detectors can get around 1.0% improvement in AP.
雇佣兵
发表于 2025-3-30 18:36:40
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Stricture
发表于 2025-3-30 22:53:42
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相信
发表于 2025-3-31 01:57:39
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暴发户
发表于 2025-3-31 06:25:33
https://doi.org/10.1007/978-3-322-96810-4of an unparalleled size in the literature, with the main diseases and damages of papaya fruit (.). The proposed data set in this work consists of 15,179 RGB images duly and manually annotated with the position of the fruit and the disease/damage found within it..In order to validate our dataset, we
Oration
发表于 2025-3-31 11:05:42
,Grundlagen der Fertigungsmeßtechnik, regressors in different levels. Then, the features derived from the density map were cascaded to assist generating a higher quality density map in next stage. Finally, the gated blocks were designed to achieve the controllable information interaction between cascade and backbone. Extensive experime
细微的差异
发表于 2025-3-31 15:35:18
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Antarctic
发表于 2025-3-31 19:26:32
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