CVPR2022论文速递（2022.3.17）！共16篇

整理：AI算法与图像处理，分享请注明出处

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

欢迎关注：

Decoupled Knowledge Distillation

• 论文/Paper：https://arxiv.org/abs/2203.08679

• 代码/Code：https://github.com/megvii-research/mdistiller

Deep vanishing point detection: Geometric priors make dataset variations vanish

• 论文/Paper：https://arxiv.org/abs/2203.08586

• 代码/Code：https://github.com/yanconglin/VanishingPoint_HoughTransform_GaussianSphere

EDTER: Edge Detection with Transformer

• 论文/Paper：https://arxiv.org/abs/2203.08566

• 代码/Code：

MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection

• 论文/Paper：https://arxiv.org/abs/2203.08563

• 代码/Code：

Non-isotropy Regularization for Proxy-based Deep Metric Learning

• 论文/Paper：https://arxiv.org/abs/2203.08563

• 代码/Code：https://github.com/ExplainableML/NonIsotropicProxyDML

Integrating Language Guidance into Vision-based Deep Metric Learning

• 论文/Paper：https://arxiv.org/abs/2203.08543

• 代码/Code：https://github.com/ExplainableML/LanguageGuidance_for_DML

Scribble-Supervised LiDAR Semantic Segmentation

• 论文/Paper：https://arxiv.org/abs/2203.08537

• 代码/Code：https://github.com/ouenal/scribblekitti

Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video

• 论文/Paper：https://arxiv.org/abs/2203.08534

• 代码/Code：https://mps-net.github.io/MPS-Net/

Towards Practical Certifiable Patch Defense with Vision Transformer

• 论文/Paper：https://arxiv.org/abs/2203.08519

• 代码/Code：

QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation

• 论文/Paperhttps://arxiv.org/abs/2203.08483

• 代码/Code：

Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding

• 论文/Paper：https://arxiv.org/abs/2203.08481

• 代码/Code：https://github.com/LeapLabTHU/Pseudo-Q

The Devil Is in the Details: Window-based Attention for Image Compression

• 论文/Paper：https://arxiv.org/abs/2203.08450

• 代码/Code：https://github.com/Googolxx/STF

Attribute Group Editing for Reliable Few-shot Image Generation

• 论文/Paper：https://arxiv.org/abs/2203.08422

• 代码/Code：

Privacy-preserving Online AutoML for Domain-Specific Face Detection

• 论文/Paper：https://arxiv.org/abs/2203.08399

• 代码/Code：

Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting

• 论文/Paper：https://arxiv.org/abs/2203.08354

• 代码/Code：https://github.com/flyinglynx/Bilinear-Matching-Network

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

• 论文/Paper：https://arxiv.org/abs/2203.08195

• 代码/Code：https://github.com/tensorflow/lingvo/tree/master/lingvo/