CVPR2022论文速递！共18篇（2022.3.9）

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

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A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation

• 论文/Paper：https://arxiv.org/abs/2203.04287

• 代码/Code：

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences

• 论文/Paper：https://arxiv.org/abs/2203.04279

• 代码/Code：https://github.com/PruneTruong/DenseMatching

End-to-End Semi-Supervised Learning for Video Action Detection

• 论文/Paper：https://arxiv.org/abs/2203.04251

• 代码/Code：

Neural Face Identification in a 2D Wireframe Projection of a Manifold Object

• 论文/Paper：https://arxiv.org/abs/2203.04229

• 代码/Code：https://github.com/manycore-research/faceformer

• 主页：https://manycore-research.github.io/faceformer/

Selective-Supervised Contrastive Learning with Noisy Labels

• 论文/Paper：https://arxiv.org/abs/2203.04181

• 代码/Code：https://github.com/ShikunLi/Sel-CL

Motron: Multimodal Probabilistic Human Motion Forecasting

• 论文/Paper：https://arxiv.org/abs/2203.04132

• 代码/Code：

E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

• 论文/Paper：https://arxiv.org/abs/2203.04074

• 代码/Code：https://github.com/zhang-tao-whu/e2ec

Shape-invariant 3D Adversarial Point Clouds

• 论文/Paper：https://arxiv.org/abs/2203.04041

• 代码/Code：https://github.com/shikiw/SI-Adv

DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos

• 论文/Paper：https://arxiv.org/abs/2203.03996

• 代码/Code：

Generative Cooperative Learning for Unsupervised Video Anomaly Detection

• 论文/Paper：https://arxiv.org/abs/2203.03962

• 代码/Code：

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation

• 论文/Paper：https://arxiv.org/abs/2203.03888

• 代码/Code：

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

• 论文/Paper：https://arxiv.org/abs/2203.03884

• 代码/Code：

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data

• 论文/Paper：https://arxiv.org/abs/2203.03860

• 代码/Code：

Deep Rectangling for Image Stitching: A Learning Baseline

• 论文/Paper：https://arxiv.org/abs/2203.03831

• 代码/Code：https://github.com/nie-lang/DeepRectangling

Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon

• 论文/Paper：https://arxiv.org/abs/2203.03818

• 代码/Code：

Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild

• 论文/Paper：https://arxiv.org/abs/2203.03800

• 代码/Code：https://github.com/deeplearning-wisc/stud

On Generalizing Beyond Domains in Cross-Domain Continual Learning

• 论文/Paper：https://arxiv.org/abs/2203.03970

• 代码/Code：

Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers

• 论文/Paper：https://arxiv.org/abs/2203.03814

• 代码/Code：