厚脸皮
发表于 2025-3-27 00:46:08
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Pessary
发表于 2025-3-27 03:05:01
Learning an Adversarial Network for Speech Enhancement Under Extremely Low Signal-to-Noise Ratio Conm mapping problem that converts the noisy speech spectrogram to the clean speech spectrogram. On such basis, we propose a robust speech enhancement approach based on deep adversarial learning for extremely low SNR Condition. The deep adversarial network is trained on a few paired spectrograms of the
欢腾
发表于 2025-3-27 08:29:11
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CHECK
发表于 2025-3-27 10:17:10
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影响深远
发表于 2025-3-27 17:08:27
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milligram
发表于 2025-3-27 21:20:47
DasNet: Dynamic Adaptive Structure for Accelerating Multi-task Convolutional Neural Networklarge common network, deploying multi-task learning on resource constrained devices is a challenging task. To guarantee overall accuracy with less computation, we introduce DasNet, which (1) automatically searches the adaptive common network sub-structure for each task; (2) fine-tunes corresponding
使长胖
发表于 2025-3-28 00:43:55
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neutral-posture
发表于 2025-3-28 02:13:42
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NOT
发表于 2025-3-28 06:48:00
Self-Adaptive Network Pruningn many industrial scenarios. In this paper, we propose to reduce such cost for CNNs through a self-adaptive network pruning method (.). Our method introduces a general Saliency-and-Pruning Module (SPM) for each convolutional layer, which learns to predict saliency scores and applies pruning for each
愤世嫉俗者
发表于 2025-3-28 11:32:17
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