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社区首页 >专栏 >CVPR2022论文速递(2022.4.4)!共13篇

CVPR2022论文速递(2022.4.4)!共13篇

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AI算法与图像处理
发布2022-05-19 14:49:46
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发布2022-05-19 14:49:46
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文章被收录于专栏:AI算法与图像处理

整理:AI算法与图像处理

CVPR2022论文和代码整理:https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo

On the Importance of Asymmetry for Siamese Representation Learning

  • 论文/Paper: http://arxiv.org/pdf/2204.00613
  • 代码/Code: https://github.com/facebookresearch/asym-siam

Marginal Contrastive Correspondence for Guided Image Generation

  • 论文/Paper: http://arxiv.org/pdf/2204.00442
  • 代码/Code: None

DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow

  • 论文/Paper: http://arxiv.org/pdf/2204.00330
  • 代码/Code: https://github.com/zihuazheng/dip

CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2204.00325
  • 代码/Code: None

Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression

  • 论文/Paper: http://arxiv.org/pdf/2204.00309
  • 代码/Code: None

Perception Prioritized Training of Diffusion Models

  • 论文/Paper: http://arxiv.org/pdf/2204.00227
  • 代码/Code: https://github.com/jychoi118/p2-weighting

Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization

  • 论文/Paper: http://arxiv.org/pdf/2204.00220
  • 代码/Code: None

GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Feature

  • 论文/Paper: http://arxiv.org/pdf/2204.00179
  • 代码/Code: https://github.com/spadeliu/graft-psmnet

LASER: LAtent SpacE Rendering for 2D Visual Localization

  • 论文/Paper: http://arxiv.org/pdf/2204.00157
  • 代码/Code: None

TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization

  • 论文/Paper: http://arxiv.org/pdf/2204.00097
  • 代码/Code: https://github.com/jeff-zilence/transgeo2022

Learning to Deblur using Light Field Generated and Real Defocus Images

  • 论文/Paper: http://arxiv.org/pdf/2204.00367
  • 代码/Code: https://github.com/lingyanruan/DRBNet

Investigating Top-k White-Box and Transferable Black-box Attack

  • 论文/Paper: http://arxiv.org/pdf/2204.00089
  • 代码/Code: None

Efficient Maximal Coding Rate Reduction by Variational Forms

  • 论文/Paper: http://arxiv.org/pdf/2204.00077
  • 代码/Code: None
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原始发表:2022-04-04,如有侵权请联系 cloudcommunity@tencent.com 删除

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