粗鲁的人
发表于 2025-3-23 11:42:53
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JIBE
发表于 2025-3-23 15:14:16
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激怒某人
发表于 2025-3-23 21:58:53
Henry George on Free Trade and Protection,sing a novel fusion scheme that incorporates channel-wise weights and spatial weighted average. To improve efficiency, we introduce a pre-filtering step that can exclude uninformative saliency maps to improve efficiency while still enhancing overall results. We evaluate SESS on object recognition an
群居动物
发表于 2025-3-24 00:55:26
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interpose
发表于 2025-3-24 02:53:31
,Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks,tion technique. Furthermore, based on the training-inference-decoupled idea, a series of different forms for implementing . on different levels are presented, which also enjoy shared convolutions in the inference and are friendly to both neuromorphic and non-neuromorphic hardware platforms. A theore
有斑点
发表于 2025-3-24 10:24:08
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fledged
发表于 2025-3-24 12:07:49
LANA: Latency Aware Network Acceleration,echniques. We analyze three popular network architectures: EfficientNetV1, EfficientNetV2 and ResNeST, and achieve accuracy improvement (up to .) for all models when compressing larger models. LANA achieves significant speed-ups (up to 5.) with minor to no accuracy drop on GPU and CPU. Project page:
转向
发表于 2025-3-24 18:23:33
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antedate
发表于 2025-3-24 22:05:57
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search,hieve . speedup for DNN inference compared to prior hardware-aware NAS methods while attaining similar or improved accuracy in image classification on CIFAR-10 and Imagenet-100 datasets. (Source code is available at .).
反感
发表于 2025-3-25 00:36:11
,PTQ4ViT: Post-training Quantization for Vision Transformers with Twin Uniform Quantization,sian guided metric to evaluate different scaling factors, which improves the accuracy of calibration at a small cost. To enable the fast quantization of vision transformers, we develop an efficient framework, PTQ4ViT. Experiments show the quantized vision transformers achieve near-lossless predictio