几篇论文实现代码：
《Ensembling with Deep Generative Views》(CVPR 2021) GitHub:https:// github.com/chail/gan-ensembling [fig2]
《Unsupervised 3D Shape Completion through GAN Inversion》(CVPR 2021) GitHub:https:// github.com/junzhezhang/shape-inversion [fig1]
《Boosting Co-teaching with Compression Regularization for Label Noise》(CVPR 2021) GitHub:https:// github.com/yingyichen-cyy/Nested-Co-teaching
《SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data》(CVPR 2021) GitHub:https:// github.com/jw9730/setvae [fig4]
《Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction》(CVPR 2021) GitHub:https:// github.com/syguan96/BOA [fig6]
《Learning Semantic Person Image Generation by Region-Adaptive Normalization》(CVPR 2021) GitHub:https:// github.com/cszy98/SPGNet [fig8]
《Learning To Count Everything》(CVPR 2021) GitHub:https:// github.com/cvlab-stonybrook/LearningToCountEverything [fig7]
《LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search》(CVPR 2021) GitHub:https:// github.com/researchmm/LightTrack [fig9]
《 Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa》(NAACL 2021) GitHub:https:// github.com/ROGERDJQ/RoBERTaABSA
《AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries》(2021) GitHub:https:// github.com/kuielab/AMSS-Net
《ActNN: Reducing Training Memory Footprintvia 2-Bit Activation Compressed Training》(2021) GitHub:https:// github.com/ucbrise/actnn
《Focal Inverse Distance Transform Maps for Crowd Localization and Counting in Dense Crowd》(2021) GitHub:https:// github.com/dk-liang/FIDTM [fig5]
《LightSeq: A High Performance Inference Library for Transformers》(2021) GitHub:https:// github.com/bytedance/lightseq
《Hyperrealistic Image Inpainting With Hypergraphs》(2021) GitHub:https:// github.com/GouravWadhwa/Hypergraphs-Image-Inpainting [fig3]
《Π-nets: Deep Polynomial Neural Networks》(CVPR 2020) GitHub:https:// github.com/grigorisg9gr/polynomial_nets
《PECOS: Prediction for Enormous and Correlated Output Spaces》(2020) GitHub:https:// github.com/amzn/pecos
《A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining》(2020) GitHub:https:// github.com/microsoft/HMNet
《X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers》(EMNLP 2020) GitHub:https:// github.com/allenai/x-lxmert
《Ensembling with Deep Generative Views》(CVPR 2021) GitHub:https:// github.com/chail/gan-ensembling [fig2]
《Unsupervised 3D Shape Completion through GAN Inversion》(CVPR 2021) GitHub:https:// github.com/junzhezhang/shape-inversion [fig1]
《Boosting Co-teaching with Compression Regularization for Label Noise》(CVPR 2021) GitHub:https:// github.com/yingyichen-cyy/Nested-Co-teaching
《SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data》(CVPR 2021) GitHub:https:// github.com/jw9730/setvae [fig4]
《Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction》(CVPR 2021) GitHub:https:// github.com/syguan96/BOA [fig6]
《Learning Semantic Person Image Generation by Region-Adaptive Normalization》(CVPR 2021) GitHub:https:// github.com/cszy98/SPGNet [fig8]
《Learning To Count Everything》(CVPR 2021) GitHub:https:// github.com/cvlab-stonybrook/LearningToCountEverything [fig7]
《LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search》(CVPR 2021) GitHub:https:// github.com/researchmm/LightTrack [fig9]
《 Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa》(NAACL 2021) GitHub:https:// github.com/ROGERDJQ/RoBERTaABSA
《AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries》(2021) GitHub:https:// github.com/kuielab/AMSS-Net
《ActNN: Reducing Training Memory Footprintvia 2-Bit Activation Compressed Training》(2021) GitHub:https:// github.com/ucbrise/actnn
《Focal Inverse Distance Transform Maps for Crowd Localization and Counting in Dense Crowd》(2021) GitHub:https:// github.com/dk-liang/FIDTM [fig5]
《LightSeq: A High Performance Inference Library for Transformers》(2021) GitHub:https:// github.com/bytedance/lightseq
《Hyperrealistic Image Inpainting With Hypergraphs》(2021) GitHub:https:// github.com/GouravWadhwa/Hypergraphs-Image-Inpainting [fig3]
《Π-nets: Deep Polynomial Neural Networks》(CVPR 2020) GitHub:https:// github.com/grigorisg9gr/polynomial_nets
《PECOS: Prediction for Enormous and Correlated Output Spaces》(2020) GitHub:https:// github.com/amzn/pecos
《A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining》(2020) GitHub:https:// github.com/microsoft/HMNet
《X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers》(EMNLP 2020) GitHub:https:// github.com/allenai/x-lxmert
#五一假期全面实施门票预约制度#
冲印度这愈演愈烈的变异疫情，中国五一还是得小心为妙！
没事儿大家都学我看看新闻，关心关心国家大事吧，别去旅游景点凑热闹扎堆人挤人了。
NEW DELHI (AP) — India crossed a grim milestone Wednesday of 200,000 people lost to the coronavirus as a devastating surge of new infections tears through dense cities and rural areas alike and overwhelms health care systems on the brink of collapse.
The health ministry reported a single-day record 3,293 COVID-19 deaths in the last 24 hours, bringing India's total fatalities to 201,187, as the world's second most populous country endures its darkest chapter of the pandemic yet.
冲印度这愈演愈烈的变异疫情，中国五一还是得小心为妙！
没事儿大家都学我看看新闻，关心关心国家大事吧，别去旅游景点凑热闹扎堆人挤人了。
NEW DELHI (AP) — India crossed a grim milestone Wednesday of 200,000 people lost to the coronavirus as a devastating surge of new infections tears through dense cities and rural areas alike and overwhelms health care systems on the brink of collapse.
The health ministry reported a single-day record 3,293 COVID-19 deaths in the last 24 hours, bringing India's total fatalities to 201,187, as the world's second most populous country endures its darkest chapter of the pandemic yet.
2022考研英语红宝书长难句解析92每日一句
Even in dense forest, you should be able to spot gaps in the tree line due to roads, train tracks, and other paths people carve through the woods.
词汇突破
dense [dens]
adj. 稠密的；浓厚的；愚钝的
carve [kɑːrv]
vt. 雕刻；切开；开创
vi. 切开；做雕刻工作
结构分析
本句的主干是 you should be able to spot gaps in the tree line。even in dense forest 为地点状语，due to roads, train tracks, and other paths 为介词短语作后置定语，修饰 gaps in the tree line，people carve through the woods 为限制性定语从句，修饰先行词 other paths。
参考译文
即使在茂密的森林中，你也应该能够发现由于道路、火车轨道和人们在树林中开辟的其他道路而造成的树间空隙。
https://t.cn/A6cRVaAM
Even in dense forest, you should be able to spot gaps in the tree line due to roads, train tracks, and other paths people carve through the woods.
词汇突破
dense [dens]
adj. 稠密的；浓厚的；愚钝的
carve [kɑːrv]
vt. 雕刻；切开；开创
vi. 切开；做雕刻工作
结构分析
本句的主干是 you should be able to spot gaps in the tree line。even in dense forest 为地点状语，due to roads, train tracks, and other paths 为介词短语作后置定语，修饰 gaps in the tree line，people carve through the woods 为限制性定语从句，修饰先行词 other paths。
参考译文
即使在茂密的森林中，你也应该能够发现由于道路、火车轨道和人们在树林中开辟的其他道路而造成的树间空隙。
https://t.cn/A6cRVaAM
✋热门推荐