冬日嘴巴容易干燥缺水或者各种问题
所以选对一只合适的唇膏很重要!
我最近就入手了ilab家的小透明唇膏
颜值扛把子!拿在手上感觉像是一只口红的质感
是透明的质地 抹在嘴上也很清爽不会油腻
现在已经被我用了大半个了!特别是睡前一定要涂满
第二天嘴巴就会水嫩嫩的
第二个冬日必备的就是我的牙膏啦!
毕竟是个牙套患者 牙膏还是要选择好一点的
sprin jene家的牙膏就很️!
一大罐够用很久 而且味道也不刺激
用了一段时间牙也没有那么黄了
我买的是舒缓敏感的 也能舒缓牙龈之类的小问题
现在全家都在跟我用这个牙膏了[萌萌哒R]#唇膏[话题]##牙膏[话题]#
所以选对一只合适的唇膏很重要!
我最近就入手了ilab家的小透明唇膏
颜值扛把子!拿在手上感觉像是一只口红的质感
是透明的质地 抹在嘴上也很清爽不会油腻
现在已经被我用了大半个了!特别是睡前一定要涂满
第二天嘴巴就会水嫩嫩的
第二个冬日必备的就是我的牙膏啦!
毕竟是个牙套患者 牙膏还是要选择好一点的
sprin jene家的牙膏就很️!
一大罐够用很久 而且味道也不刺激
用了一段时间牙也没有那么黄了
我买的是舒缓敏感的 也能舒缓牙龈之类的小问题
现在全家都在跟我用这个牙膏了[萌萌哒R]#唇膏[话题]##牙膏[话题]#
几篇论文实现代码:
《Explore Image Deblurring via Encoded Blur Kernel Space》(CVPR 2021) GitHub:https:// github.com/VinAIResearch/blur-kernel-space-exploring [FIG7]
《VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation》(ICCV 2021) GitHub:https:// github.com/hzykent/VMNet [fig1]
《Greedy Gradient Ensemble for Robust Visual Question Answering》(ICCV 2021) GitHub:https:// github.com/GeraldHan/GGE
《Generalized Source-free Domain Adaptation》(ICCV 2021) GitHub:https:// github.com/Albert0147/G-SFDA
《Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP》(2021) GitHub:https:// github.com/timoschick/self-debiasing
《MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks》(NeurIPS 2021) GitHub:https:// github.com/alexrame/mixmo-pytorch [fig6]
《Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture》(2021) GitHub:https:// github.com/CDInstitute/Building-Dataset-Generator [fig5]
《PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features》(2021) GitHub:https:// github.com/qq456cvb/SPRIN [fig2]
《Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture》(2021) GitHub:https:// github.com/CDInstitute/Building-Dataset-Generator [fig4]
《PHASER: A Robust and Correspondence-Free Global Pointcloud Registration》(2021) GitHub:https:// github.com/ethz-asl/phaser [fig3]
《Text-Based Ideal Points》(ACL 2020) GitHub:https:// github.com/keyonvafa/tbip
《Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation》(ECCV 2020) GitHub:https:// github.com/TKKim93/APE
《Domain Adaptive Imitation Learning》(2020) GitHub:https:// github.com/ermongroup/dail
《Training Generative Adversarial Networks by Solving Ordinary Differential Equations》(2020) GitHub:https:// github.com/titu1994/pytorch_odegan
《SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning》(2020) GitHub:https:// github.com/cjrd/selfaugment
《Explore Image Deblurring via Encoded Blur Kernel Space》(CVPR 2021) GitHub:https:// github.com/VinAIResearch/blur-kernel-space-exploring [FIG7]
《VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation》(ICCV 2021) GitHub:https:// github.com/hzykent/VMNet [fig1]
《Greedy Gradient Ensemble for Robust Visual Question Answering》(ICCV 2021) GitHub:https:// github.com/GeraldHan/GGE
《Generalized Source-free Domain Adaptation》(ICCV 2021) GitHub:https:// github.com/Albert0147/G-SFDA
《Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP》(2021) GitHub:https:// github.com/timoschick/self-debiasing
《MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks》(NeurIPS 2021) GitHub:https:// github.com/alexrame/mixmo-pytorch [fig6]
《Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture》(2021) GitHub:https:// github.com/CDInstitute/Building-Dataset-Generator [fig5]
《PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features》(2021) GitHub:https:// github.com/qq456cvb/SPRIN [fig2]
《Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture》(2021) GitHub:https:// github.com/CDInstitute/Building-Dataset-Generator [fig4]
《PHASER: A Robust and Correspondence-Free Global Pointcloud Registration》(2021) GitHub:https:// github.com/ethz-asl/phaser [fig3]
《Text-Based Ideal Points》(ACL 2020) GitHub:https:// github.com/keyonvafa/tbip
《Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation》(ECCV 2020) GitHub:https:// github.com/TKKim93/APE
《Domain Adaptive Imitation Learning》(2020) GitHub:https:// github.com/ermongroup/dail
《Training Generative Adversarial Networks by Solving Ordinary Differential Equations》(2020) GitHub:https:// github.com/titu1994/pytorch_odegan
《SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning》(2020) GitHub:https:// github.com/cjrd/selfaugment
#贫限力# 贫穷限制了我的想象力!
IWC 作为拥有超过一周年历史的表厂,今回带来的全新 Big Pilot Shock Absorber XPL 表款可说是格外令人惊艳。此表款搭载耗时8年研发的专利 SPRIN-g PROTECT 减震防护系统,搭配 Bulk Metallic Glass,其具备120小时动力储存的 IWCmanufactured 32115 机芯能够抵抗加速度超过30,000克的极端冲击力。
外观上则采 44mm 哑光黑色调轻量化瓷化钛合金 Ceratanium 制成表壳,具备陶瓷的轻盈、防刮特性,又拥有金属的坚固耐用。此表将限量生产30枚,每年发行10枚。
IWC 作为拥有超过一周年历史的表厂,今回带来的全新 Big Pilot Shock Absorber XPL 表款可说是格外令人惊艳。此表款搭载耗时8年研发的专利 SPRIN-g PROTECT 减震防护系统,搭配 Bulk Metallic Glass,其具备120小时动力储存的 IWCmanufactured 32115 机芯能够抵抗加速度超过30,000克的极端冲击力。
外观上则采 44mm 哑光黑色调轻量化瓷化钛合金 Ceratanium 制成表壳,具备陶瓷的轻盈、防刮特性,又拥有金属的坚固耐用。此表将限量生产30枚,每年发行10枚。
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