Constrict
发表于 2025-3-21 16:53:46
书目名称Computer Vision – ECCV 2020影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0234223<br><br> <br><br>书目名称Computer Vision – ECCV 2020影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0234223<br><br> <br><br>书目名称Computer Vision – ECCV 2020网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0234223<br><br> <br><br>书目名称Computer Vision – ECCV 2020网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0234223<br><br> <br><br>书目名称Computer Vision – ECCV 2020被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0234223<br><br> <br><br>书目名称Computer Vision – ECCV 2020被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0234223<br><br> <br><br>书目名称Computer Vision – ECCV 2020年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0234223<br><br> <br><br>书目名称Computer Vision – ECCV 2020年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0234223<br><br> <br><br>书目名称Computer Vision – ECCV 2020读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0234223<br><br> <br><br>书目名称Computer Vision – ECCV 2020读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0234223<br><br> <br><br>
投票
发表于 2025-3-21 23:52:18
Online Ensemble Model Compression Using Knowledge Distillation,ltaneously learnt ensemble knowledge onto each of the compressed student models. Each model learns unique representations from the data distribution due to its distinct architecture. This helps the ensemble generalize better by combining every model’s knowledge. The distilled students and ensemble t
关心
发表于 2025-3-22 04:12:06
Deep Learning-Based Pupil Center Detection for Fast and Accurate Eye Tracking System,ration. Many techniques for detecting pupil centers with error range of iris radius have been developed, but few techniques have precise performance with error range of pupil radius. In addition, the conventional methods rarely guarantee real-time pupil center detection in a general-purpose computer
prolate
发表于 2025-3-22 05:05:36
Efficient Residue Number System Based Winograd Convolution,ations represented in floating point. However it is difficult to apply the scheme to the inference of low-precision quantized (e.g. INT8) networks. Our work extends the Winograd algorithm to Residue Number System (RNS). The minimal complexity convolution is computed precisely over large transformati
阻挠
发表于 2025-3-22 10:23:55
Robust Tracking Against Adversarial Attacks,p tracking algorithms against adversarial attacks. Current studies on adversarial attack and defense mainly reside in a single image. In this work, we first attempt to generate adversarial examples on top of video sequences to improve the tracking robustness against adversarial attacks. To this end,
天然热喷泉
发表于 2025-3-22 13:35:42
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天然热喷泉
发表于 2025-3-22 19:49:03
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irreducible
发表于 2025-3-22 23:48:19
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符合你规定
发表于 2025-3-23 02:52:16
Towards Fast, Accurate and Stable 3D Dense Face Alignment,balance among speed, accuracy and stability. Firstly, on the basis of a lightweight backbone, we propose a meta-joint optimization strategy to dynamically regress a small set of 3DMM parameters, which greatly enhances speed and accuracy simultaneously. To further improve the stability on videos, we
使成核
发表于 2025-3-23 06:28:06
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