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
Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer (Oral)
标题:并非所有token都是平等的:通过token聚类Transformer以人为际的视觉分析
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity
标题:根据数据稀缺,重新审视部分监督的多标签分类最小化
Modeling Missing Annotations for Incremental Learning in Object Detection
标题:对象检测中增量学习的建模缺失注释
Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models
标题:增强热适应对象检测模型的大气湍流效应
Dual-Domain Image Synthesis using Segmentation-Guided GAN
标题:双域图像合成使用分割引导GaN
Proposal-free Lidar Panoptic Segmentation with Pillar-level Affinity
标题:免除柱级亲和力的免费激光雷达光学分割
Dual-Domain Image Synthesis using Segmentation-Guided GAN
标题:双域图像合成使用分割引导GaN
Self-Calibrated Efficient Transformer for Lightweight Super-Resolution
标题:用于轻质超分辨率的自校准高效Transformer
Edge-enhanced Feature Distillation Network for Efficient Super-Resolution
标题:高效超分辨率的边缘增强功能蒸馏网
Self-Calibrated Efficient Transformer for Lightweight Super-Resolution
标题:用于轻质超分辨率的自校准高效Transformer
Multimodal Token Fusion for Vision Transformers
标题:视觉Transformer的多模态token融合
Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer (Oral)
标题:并非所有token都是平等的:通过token聚类Transformer以人为际的视觉分析
Multimodal Token Fusion for Vision Transformers
标题:视觉Transformer的多模态token融合
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data
标题:学习想象:使用未标记数据的增量学习多样化内存
An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions
标题:在所有天气条件下驱动的有效域 - 增量学习方法
Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment
标题:融入半监督和积极的未标记学习,用于提高完整参考图像质量评估
Self-Supervised Equivariant Learning for Oriented Keypoint Detection
标题:面向关键点检测的自我监督的等级学习