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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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
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
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
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
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
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
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
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