CVPR2022论文速递(2022.4.18)!共9篇!多篇成果代码已开源!

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(2022.4.18)!共9篇!多篇成果代码已开源!_第1张图片

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Updated on : 18 Apr 2022

total number : 9

CVPR2022 Oral - 1 篇

Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation  (Oral)

标题:在野外学习多视图聚集,用于大规模3D语义分割(ORAL)

  • 论文/Paper: http://arxiv.org/pdf/2204.07548

  • 代码/Code: https://github.com/drprojects/DeepViewAgg

目标检测 / Object Detection - 1 篇

Dense Learning based Semi-Supervised Object Detection

标题:基于稠密的学习半监督对象检测

  • 论文/Paper: http://arxiv.org/pdf/2204.07300

  • 代码/Code: https://github.com/chenbinghui1/DSL

语义分割/Segmentation - 1 篇

Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation  (Oral)

标题:在野外学习多视图聚集,用于大规模3D语义分割(ORAL)

  • 论文/Paper: http://arxiv.org/pdf/2204.07548

  • 代码/Code: https://github.com/drprojects/DeepViewAgg

车道线检测/Lane Detection - 1 篇

A Keypoint-based Global Association Network for Lane Detection

标题:基于关键点的全局关联网络,用于车道检测

  • 论文/Paper: http://arxiv.org/pdf/2204.07335

  • 代码/Code: https://github.com/Wolfwjs/GANet.

其他/Other - 6 篇

Patch-wise Contrastive Style Learning for Instagram Filter Removal

标题:用于Instagram Filter移除的Patch-wise的对比风格学习

  • 论文/Paper: http://arxiv.org/pdf/2204.07486

  • 代码/Code: None

Guiding Attention using Partial-Order Relationships for Image Captioning

标题:使用Partial-Order关系引导attention图像描述

  • 论文/Paper: http://arxiv.org/pdf/2204.07476

  • 代码/Code: None

MetaSets: Meta-Learning on Point Sets for Generalizable Representations

标题:MetaSets:元学习在通用表示的点集合

  • 论文/Paper: http://arxiv.org/pdf/2204.07311

  • 代码/Code: None

Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference

标题:推动简单管道用于Few-Shot学习的极限:外部数据和微调会产生差异

  • 论文/Paper: http://arxiv.org/pdf/2204.07305

  • 代码/Code: None

Imposing Consistency for Optical Flow Estimation

标题:对光流估计的施加一致性

  • 论文/Paper: http://arxiv.org/pdf/2204.07262

  • 代码/Code: None

Measuring Compositional Consistency for Video Question Answering

标题:测量视频问题问答的组成一致性

  • 论文/Paper: http://arxiv.org/pdf/2204.07190

  • 代码/Code: None

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