浮华
发表于 2025-3-21 18:26:53
书目名称Computer Vision – ECCV 2022 Workshops影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0234283<br><br> <br><br>书目名称Computer Vision – ECCV 2022 Workshops影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0234283<br><br> <br><br>书目名称Computer Vision – ECCV 2022 Workshops网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0234283<br><br> <br><br>书目名称Computer Vision – ECCV 2022 Workshops网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0234283<br><br> <br><br>书目名称Computer Vision – ECCV 2022 Workshops被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0234283<br><br> <br><br>书目名称Computer Vision – ECCV 2022 Workshops被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0234283<br><br> <br><br>书目名称Computer Vision – ECCV 2022 Workshops年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0234283<br><br> <br><br>书目名称Computer Vision – ECCV 2022 Workshops年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0234283<br><br> <br><br>书目名称Computer Vision – ECCV 2022 Workshops读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0234283<br><br> <br><br>书目名称Computer Vision – ECCV 2022 Workshops读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0234283<br><br> <br><br>
FOLLY
发表于 2025-3-21 22:29:15
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凹室
发表于 2025-3-22 02:16:51
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哺乳动物
发表于 2025-3-22 04:42:42
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Defense
发表于 2025-3-22 11:54:37
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challen. While numerous solutions have been proposed for this problem in the past, they are usually not compatible with low-power mobile NPUs having many computational and memory constraints. In this Mobile AI challenge, we address this problem and propose the participants to design an efficient quantized
Mumble
发表于 2025-3-22 15:11:33
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Mumble
发表于 2025-3-22 20:14:00
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CONE
发表于 2025-3-23 00:21:03
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Resultse super-resolution of compressed image, and Track 2 targets the super-resolution of compressed video. In Track 1, we use the popular dataset DIV2K as the training, validation and test sets. In Track 2, we propose the LDV 3.0 dataset, which contains 365 videos, including the LDV 2.0 dataset (335 vide
无礼回复
发表于 2025-3-23 03:10:50
Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentationsed on U-shaped architecture and skip-connections have been widely applied in various medical image tasks. However, although CNN has achieved excellent performance, it cannot learn global semantic information interaction well due to the locality of convolution operation. In this paper, we propose Sw
蚊子
发表于 2025-3-23 06:29:06
Self-attention Capsule Network for Tissue Classification in Case of Challenging Medical Image Statisclassification. These challenges are - significant data heterogeneity with statistics variability across imaging domains, insufficient spatial context and local fine-grained details, and limited training data. Moreover, our proposed method solves limitations of the baseline Capsule Networks (CapsNet