无可争辩 发表于 2025-3-26 22:38:35

Industrial Dynamics and the Evolution of Markets in the Mutual Fund Industry

案发地点 发表于 2025-3-27 03:29:37

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Truculent 发表于 2025-3-27 05:59:10

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不合 发表于 2025-3-27 11:32:50

Andreas Mattigetter visual quality. Experimental results show that the proposed UDC-UNet outperforms the state-of-the-art methods in quantitative and qualitative comparisons. Our approach won second place in the UDC image restoration track of the MIPI challenge. Codes and models are available at ..

无法治愈 发表于 2025-3-27 16:20:08

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加剧 发表于 2025-3-27 18:32:22

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小鹿 发表于 2025-3-28 01:05:23

Andreas Mattig. By simply applying MoQuad to SimCLR, extensive experiments show that we achieve superior performance on downstream tasks compared to the state of the arts. Notably, on the UCF-101 action recognition task, we achieve 93.7% accuracy after pre-training the model on Kinetics-400 for only 200 epochs, s

来自于 发表于 2025-3-28 03:14:11

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Flatus 发表于 2025-3-28 09:17:07

Andreas Mattigby using a contrastive loss, and (2) predicting box coordinates using a transformer, which potentially benefits downstream object detection tasks. We found that these tasks do not lead to better object detection performance when finetuning the pretrained model on labeled data.

Isometric 发表于 2025-3-28 14:07:04

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查看完整版本: Titlebook: Industrial Dynamics and the Evolution of Markets in the Mutual Fund Industry; Andreas Mattig Book 2009 Gabler Verlag | Springer Fachmedien