broach
发表于 2025-3-21 18:58:02
书目名称Computer Vision – ECCV 2020 Workshops影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0234241<br><br> <br><br>书目名称Computer Vision – ECCV 2020 Workshops影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0234241<br><br> <br><br>书目名称Computer Vision – ECCV 2020 Workshops网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0234241<br><br> <br><br>书目名称Computer Vision – ECCV 2020 Workshops网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0234241<br><br> <br><br>书目名称Computer Vision – ECCV 2020 Workshops被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0234241<br><br> <br><br>书目名称Computer Vision – ECCV 2020 Workshops被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0234241<br><br> <br><br>书目名称Computer Vision – ECCV 2020 Workshops年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0234241<br><br> <br><br>书目名称Computer Vision – ECCV 2020 Workshops年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0234241<br><br> <br><br>书目名称Computer Vision – ECCV 2020 Workshops读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0234241<br><br> <br><br>书目名称Computer Vision – ECCV 2020 Workshops读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0234241<br><br> <br><br>
招人嫉妒
发表于 2025-3-21 23:33:45
SegBlocks: Towards Block-Based Adaptive Resolution Networks for Fast Segmentation Our method dynamically splits the image into blocks and processes low-complexity regions at a lower resolution. Our novel BlockPad module, implemented in CUDA, replaces zero-padding in order to prevent the discontinuities at patch borders of which existing methods suffer, while keeping memory consu
Paradox
发表于 2025-3-22 01:08:22
Weight-Dependent Gates for Differentiable Neural Network PruningWe argue that the pruning decision should depend on the convolutional weights, in other words, it should be a learnable function of filter weights. We thus construct the weight-dependent gates (W-Gates) to learn the information from filter weights and obtain binary filter gates to prune or keep the
草率男
发表于 2025-3-22 05:58:30
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鸵鸟
发表于 2025-3-22 10:06:33
An Efficient Method for Face Quality Assessment on the Edgefirst step generates multiple detections for a single identity by ingesting a camera stream. A practical approach on edge devices should prioritize these detections of identities according to their conformity to recognition. In this perspective, we propose a face quality score regression by just app
本土
发表于 2025-3-22 16:02:45
Efficient Approximation of Filters for High-Accuracy Binary Convolutional Neural Networksfull-precision convolutional filter by sum of binary filters with multiplicative and additive scaling factors. We present closed form solutions to the proposed methods. We perform experiments on binary neural networks with binary activations and pre-trained neural networks with full-precision activa
本土
发表于 2025-3-22 19:43:32
One Weight Bitwidth to Rule Them Allially important for applications where memory storage is limited. However, when aiming for quantization without accuracy degradation, different tasks may end up with different bitwidths. This creates complexity for software and hardware support and the complexity accumulates when one considers mixed
绿州
发表于 2025-3-23 00:11:56
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全国性
发表于 2025-3-23 04:19:49
Post Training Mixed-Precision Quantization Based on Key Layers Selectionsimple to use, they have gained considerable attention. However, when the model is quantized below 8-bits, significant accuracy degradation will be involved. This paper seeks to address this problem by building mixed-precision inference networks based on key activation layers selection. In post trai
extinct
发表于 2025-3-23 05:53:24
Subtensor Quantization for Mobilenets not all DNN designs are friendly to quantization. For example, the popular Mobilenet architecture has been tuned to reduce parameter size and computational latency with separable depthwise convolutions, but not all quantization algorithms work well and the accuracy can suffer against its float poin