CVPR2022论文速递(2022.4.7)!共17篇,新增标题翻译

AI算法与图像处理

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2022-04-13 01:14


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
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大家好,  最近正在优化每周分享的CVPR论文, 目前考虑按照不同类别去分类,方便不同方向的小伙伴挑选自己感兴趣的论文哈
欢迎大家留言其他想法,  合适的话会采纳哈! 求个三连支持一波哈


目标检测 / Object Detection - 1 篇

Towards Robust Adaptive Object Detection under Noisy Annotations

标题:在嘈杂的注释下朝着强大的自适应对象检测

  • 论文/Paper: http://arxiv.org/pdf/2204.02620

  • 代码/Code: None

语义分割/Segmentation - 2 篇

FocalClick: Towards Practical Interactive Image Segmentation

标题:FOCALCLICK:走向实际交互式图像分割

  • 论文/Paper: http://arxiv.org/pdf/2204.02574

  • 代码/Code: https://github.com/XavierCHEN34/ClickSEG

Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation

标题:基于文本的视频分割的多模态特征建模运动

  • 论文/Paper: http://arxiv.org/pdf/2204.02547

  • 代码/Code: None

其他/Other - 15 篇

Temporal Alignment Networks for Long-term Video

标题:用于长期视频的时间对准网络

  • 论文/Paper: http://arxiv.org/pdf/2204.02968

  • 代码/Code: None

"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping

标题:“灯柱旁边的行人”自适应对象图,用于更好的瞬时映射

  • 论文/Paper: http://arxiv.org/pdf/2204.02944

  • 代码/Code: None

An Empirical Study of End-to-End Temporal Action Detection

标题:端到端时间作用检测的实证研究

  • 论文/Paper: http://arxiv.org/pdf/2204.02932

  • 代码/Code: https://github.com/xlliu7/E2E-TAD

Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network

标题:掩盖对抗性损伤:寻找强大和稀疏网络的对抗显着性

  • 论文/Paper: http://arxiv.org/pdf/2204.02738

  • 代码/Code: None

Aesthetic Text Logo Synthesis via Content-aware Layout Inferring

标题:通过内容感知布局推断的美学文本徽标综合

  • 论文/Paper: http://arxiv.org/pdf/2204.02701

  • 代码/Code: https://github.com/yizhiwang96/TextLogoLayout

Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification

标题:克隆从真实世界的图像到3D字符的克隆服装,以便重新识别

  • 论文/Paper: http://arxiv.org/pdf/2204.02611

  • 代码/Code: https://github.com/Yanan-Wang-cs/ClonedPerson

Learning to Anticipate Future with Dynamic Context Removal

标题:使用动态背景删除学习预期未来

  • 论文/Paper: http://arxiv.org/pdf/2204.02587

  • 代码/Code: https://github.com/AllenXuuu/DCR.

SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference

标题:Squeezenerf:进一步分解Fastnerf,用于记忆高效推论

  • 论文/Paper: http://arxiv.org/pdf/2204.02585

  • 代码/Code: None

Gait Recognition in the Wild with Dense 3D Representations and A Benchmark

标题:步态在野外的崇拜与密集的3D表示和基准

  • 论文/Paper: http://arxiv.org/pdf/2204.02569

  • 代码/Code: None

MixFormer: Mixing Features across Windows and Dimensions

标题:混合器:跨窗口和尺寸的混合功能

  • 论文/Paper: http://arxiv.org/pdf/2204.02557

  • 代码/Code: https://github.com/PaddlePaddle/PaddleClas

RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection

标题:Rodd:一种自我监督的方法,可实现稳健的分配检测

  • 论文/Paper: http://arxiv.org/pdf/2204.02553

  • 代码/Code: None

Adversarial Robustness through the Lens of Convolutional Filters

标题:通过卷积滤镜的镜片对抗鲁棒性

  • 论文/Paper: http://arxiv.org/pdf/2204.02481

  • 代码/Code: https://github.com/paulgavrikov/cvpr22w_RobustnessThroughTheLens

Towards An End-to-End Framework for Flow-Guided Video Inpainting

标题:走向流动导向视频染色的端到端框架

  • 论文/Paper: http://arxiv.org/pdf/2204.02663

  • 代码/Code: https://github.com/MCG-NKU/E2FGVI.

Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks

标题:学习物理信息神经网络的最佳k空间采集与重建

  • 论文/Paper: http://arxiv.org/pdf/2204.02480

  • 代码/Code: None



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