CVPR2022论文速递(2022.4.1)!共33篇,已分类!

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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CVPR2022论文速递(2022.4.1)!共33篇,已分类!_第1张图片

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

Multi-Granularity Alignment Domain Adaptation for Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2203.16897

  • 代码/Code: None

目标跟踪/Object Tracking - 1 篇

MeMOT: Multi-Object Tracking with Memory

  • 论文/Paper: http://arxiv.org/pdf/2203.16761

  • 代码/Code: None

语义分割/Segmentation - 1 篇

ReSTR: Convolution-free Referring Image Segmentation Using Transformers

  • 论文/Paper: http://arxiv.org/pdf/2203.16768

  • 代码/Code: None

GAN - 2 篇

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

  • 论文/Paper: http://arxiv.org/pdf/2203.17266

  • 代码/Code: https://github.com/BillyXYB/TransEditor

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

  • 论文/Paper: http://arxiv.org/pdf/2203.17266

  • 代码/Code: https://github.com/BillyXYB/TransEditor

Transformers - - 5 篇

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

  • 论文/Paper: http://arxiv.org/pdf/2203.17266

  • 代码/Code: https://github.com/BillyXYB/TransEditor

VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers

  • 论文/Paper: http://arxiv.org/pdf/2203.17247

  • 代码/Code: None

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

  • 论文/Paper: http://arxiv.org/pdf/2203.16896

  • 代码/Code: None

Deformable Video Transformer

  • 论文/Paper: http://arxiv.org/pdf/2203.16795

  • 代码/Code: None

ReSTR: Convolution-free Referring Image Segmentation Using Transformers

  • 论文/Paper: http://arxiv.org/pdf/2203.16768

  • 代码/Code: None

多模态 / Multimodal - 1 篇

ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval

  • 论文/Paper: http://arxiv.org/pdf/2203.16778

  • 代码/Code: None

姿态估计/Pose Estimation - 1 篇

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

  • 论文/Paper: http://arxiv.org/pdf/2203.17234

  • 代码/Code: None

对比学习/Contrastive Learning - 1 篇

Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization

  • 论文/Paper: http://arxiv.org/pdf/2203.16800

  • 代码/Code: https://github.com/MengyuanChen21/CVPR2022-FTCL

人脸相关 / Face - 3 篇

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

  • 论文/Paper: http://arxiv.org/pdf/2203.17266

  • 代码/Code: https://github.com/BillyXYB/TransEditor

Face Relighting with Geometrically Consistent Shadows

  • 论文/Paper: http://arxiv.org/pdf/2203.16681

  • 代码/Code: None

Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination

  • 论文/Paper: http://arxiv.org/pdf/2203.16669

  • 代码/Code: None

视频插帧/Frame Interpolation - 1 篇

Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion

  • 论文/Paper: http://arxiv.org/pdf/2203.17191

  • 代码/Code: None

车道线检测/Lane Detection - 1 篇

Towards Driving-Oriented Metric for Lane Detection Models

  • 论文/Paper: http://arxiv.org/pdf/2203.16851

  • 代码/Code: None

点云/Point Clouds - 3 篇

Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds

  • 论文/Paper: http://arxiv.org/pdf/2203.16895

  • 代码/Code: None

Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds

  • 论文/Paper: http://arxiv.org/pdf/2203.16895

  • 代码/Code: None

Learning Local Displacements for Point Cloud Completion

  • 论文/Paper: http://arxiv.org/pdf/2203.16600

  • 代码/Code: None

其他/Other - 17 篇

Bringing Old Films Back to Life

  • 论文/Paper: http://arxiv.org/pdf/2203.17276

  • 代码/Code: https://github.com/raywzy/Bringing-Old-Films-Back-to-Life

Generating High Fidelity Data from Low-density Regions using Diffusion Models

  • 论文/Paper: http://arxiv.org/pdf/2203.17260

  • 代码/Code: None

Continuous Scene Representations for Embodied AI

  • 论文/Paper: http://arxiv.org/pdf/2203.17251

  • 代码/Code: None

SimVQA: Exploring Simulated Environments for Visual Question Answering

  • 论文/Paper: http://arxiv.org/pdf/2203.17219

  • 代码/Code: None

Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy

  • 论文/Paper: http://arxiv.org/pdf/2203.17205

  • 代码/Code: None

AEGNN: Asynchronous Event-based Graph Neural Networks

  • 论文/Paper: http://arxiv.org/pdf/2203.17149

  • 代码/Code: None

It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher

  • 论文/Paper: http://arxiv.org/pdf/2203.17008

  • 代码/Code: None

Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond

  • 论文/Paper: http://arxiv.org/pdf/2203.16931

  • 代码/Code: None

End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps

  • 论文/Paper: http://arxiv.org/pdf/2203.16910

  • 代码/Code: None

Reflection and Rotation Symmetry Detection via Equivariant Learning

  • 论文/Paper: http://arxiv.org/pdf/2203.16787

  • 代码/Code: None

Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models

  • 论文/Paper: http://arxiv.org/pdf/2203.16755

  • 代码/Code: None

Personalized Image Aesthetics Assessment with Rich Attributes

  • 论文/Paper: http://arxiv.org/pdf/2203.16754

  • 代码/Code: None

Constrained Few-shot Class-incremental Learning

  • 论文/Paper: http://arxiv.org/pdf/2203.16588

  • 代码/Code: None

Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation

  • 论文/Paper: http://arxiv.org/pdf/2203.16586

  • 代码/Code: None

Exploiting Explainable Metrics for Augmented SGD

  • 论文/Paper: http://arxiv.org/pdf/2203.16723

  • 代码/Code: None

Task Adaptive Parameter Sharing for Multi-Task Learning

  • 论文/Paper: http://arxiv.org/pdf/2203.16708

  • 代码/Code: None

D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions

  • 论文/Paper: http://arxiv.org/pdf/2112.03028

  • 代码/Code: None

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