CVPR2022论文速递(2022.4.19)!共19篇!

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

欢迎关注公众号 AI算法与图像处理,获取更多干货:

CVPR2022论文速递(2022.4.19)!共19篇!_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

Updated on : 19 Apr 2022

total number : 19

CVPR2022 Oral - 2 篇

Detecting Deepfakes with Self-Blended Images  (Oral)

标题:用自混合图像检测Deepfakes

  • 论文/Paper: http://arxiv.org/pdf/2204.08376

  • 代码/Code: https://github.com/mapooon/SelfBlendedImages

Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding  (Oral)

标题:Animal Kingdom:用于动物行为理解的大规模多样化的数据集

  • 论文/Paper: http://arxiv.org/pdf/2204.08129

  • 代码/Code: None

目标检测 / Object Detection - 2 篇

Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint

标题:基于熵的主动学习,用于具有渐进分集约束的目标检测

  • 论文/Paper: http://arxiv.org/pdf/2204.07965

  • 代码/Code: None

Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection

标题:目标相关知识保存用于针对多源域自适应目标检测

  • 论文/Paper: http://arxiv.org/pdf/2204.07964

  • 代码/Code: None

目标跟踪/Object Tracking - 1 篇

Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads

标题:无约束的道路上检测,跟踪和计数摩托车骑手交通违规行为

  • 论文/Paper: http://arxiv.org/pdf/2204.08364

  • 代码/Code: None

语义分割/Segmentation - 2 篇

Temporally Efficient Vision Transformer for Video Instance Segmentation

标题:用于视频实例分段的时间高效视觉Transformer

  • 论文/Paper: http://arxiv.org/pdf/2204.08412

  • 代码/Code: https://github.com/hustvl/TeViT.

Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images

标题:农业空中图像语义分割中的增强不变性和自适应抽样

  • 论文/Paper: http://arxiv.org/pdf/2204.07969

  • 代码/Code: None

超分/Super-Resolution - 2 篇

Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution

标题:快速和记忆高效的网络,高效图像超分辨率

  • 论文/Paper: http://arxiv.org/pdf/2204.08397

  • 代码/Code: https://github.com/NJU-Jet/FMEN.

Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation

标题:无人驾驶的域适应与自主干草生物量估计的无人机图像的超分辨率

  • 论文/Paper: http://arxiv.org/pdf/2204.08271

  • 代码/Code: None

Transformers - - 3 篇

Temporally Efficient Vision Transformer for Video Instance Segmentation

标题:用于视频实例分段的时间高效视觉Transformer

  • 论文/Paper: http://arxiv.org/pdf/2204.08412

  • 代码/Code: https://github.com/hustvl/TeViT.

Safe Self-Refinement for Transformer-based Domain Adaptation

标题:基于Transformer的域适应的安全自细化

  • 论文/Paper: http://arxiv.org/pdf/2204.07683

  • 代码/Code: None

Multi-Frame Self-Supervised Depth with Transformers

标题:Transformer的多帧自监督深度

  • 论文/Paper: http://arxiv.org/pdf/2204.07616

  • 代码/Code: None

其他/Other - 8 篇

Deep Equilibrium Optical Flow Estimation

标题:深度平衡光流量估计

  • 论文/Paper: http://arxiv.org/pdf/2204.08442

  • 代码/Code: None

OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval

标题:OMG:观察基于语言的车辆检索多个粒度

  • 论文/Paper: http://arxiv.org/pdf/2204.08209

  • 代码/Code: https://github.com/dyhBUPT/OMG.

Video Action Detection: Analysing Limitations and Challenges

标题:视频动作检测:分析局限性和挑战

  • 论文/Paper: http://arxiv.org/pdf/2204.07892

  • 代码/Code: None

Towards a Deeper Understanding of Skeleton-based Gait Recognition

标题:朝着更深入地了解基于骨架的步态识别

  • 论文/Paper: http://arxiv.org/pdf/2204.07855

  • 代码/Code: None

Interactiveness Field in Human-Object Interactions

标题:人-对象交互中的互动场

  • 论文/Paper: http://arxiv.org/pdf/2204.07718

  • 代码/Code: https://github.com/Foruck/Interactiveness-Field.

Pushing the Performance Limit of Scene Text Recognizer without Human Annotation

标题:推动场景文本识别器的性能限制,没有人为注释

  • 论文/Paper: http://arxiv.org/pdf/2204.07714

  • 代码/Code: None

It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection

标题:不是没问题:通过对比数据收集克服情感形象标题中的情感偏见

  • 论文/Paper: http://arxiv.org/pdf/2204.07660

  • 代码/Code: None

Deep Unlearning via Randomized Conditionally Independent Hessians

标题:通过随机条件独立的Hessians深度无光

  • 论文/Paper: http://arxiv.org/pdf/2204.07655

  • 代码/Code: https://github.com/vsingh-group/LCODEC-deep-unlearning

你可能感兴趣的:(算法,人工智能,python,机器学习,深度学习)