#teamperaya[超话]#
210818
下雨天听歌
歌词
分享歌词：
World, I want to leave you better，世界啊 我想让你变得更好
I want my life to matter，我想让生命充满意义
I am afraid I have no purpose here，可恐怕我却不知为何在这里
I watch the news on TV，我看着电视上的新闻
Abandon myself daily，每一天过的浑浑噩噩
I am afraid to let you see the real me，我恐怕不敢让你看到真实的自己。
分享Sia的单曲《Courage to Change》
cr:__singto
210818
下雨天听歌
歌词
分享歌词：
World, I want to leave you better，世界啊 我想让你变得更好
I want my life to matter，我想让生命充满意义
I am afraid I have no purpose here，可恐怕我却不知为何在这里
I watch the news on TV，我看着电视上的新闻
Abandon myself daily，每一天过的浑浑噩噩
I am afraid to let you see the real me，我恐怕不敢让你看到真实的自己。
分享Sia的单曲《Courage to Change》
cr:__singto
一、【肖战xTODS】
教科书级别的全球官宣。
全球卡点代言人生日1005，39个国家和地区卡点认领，全球官网同步更新并开通代言人专属频道。全球ins，官网，脸书、linkedin，油管【唯一】认领的brand ambassador，♥肖战TODS品牌历史上首位全球官网官宣的中国艺人♥
二、时尚行业top1媒体BOF和Luxury Daily相继报道，文章中提到了代言人带来的曝光度与关注，他将诠释品牌的价值并更上一层楼。
三、一二线城市高端核心地段地广
教科书级别的全球官宣。
全球卡点代言人生日1005，39个国家和地区卡点认领，全球官网同步更新并开通代言人专属频道。全球ins，官网，脸书、linkedin，油管【唯一】认领的brand ambassador，♥肖战TODS品牌历史上首位全球官网官宣的中国艺人♥
二、时尚行业top1媒体BOF和Luxury Daily相继报道，文章中提到了代言人带来的曝光度与关注，他将诠释品牌的价值并更上一层楼。
三、一二线城市高端核心地段地广
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
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