【CVPR2024】CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition 这个论文提出了一种具有跨图像相关性的鲁棒全局表示方法用于视觉位置识别(VPR,Visual Place Recog…
CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition On the Estimation of Image-matching Uncertainty in Visual Place Recognition salad: Optimal Transport Aggregation for Visual Place Recognition TransLoc4D:Transformer-based 4D Radar Place Recognition 【icra24】globalizin...
Paper: https://arxiv.org/pdf/2311.11016.pdf CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition Paper:https://arxiv.org/abs/2402.19231 Code:https://github.com/Lu-Feng/CricaVPR 12)Scene Flow Estimation | 场景流估计 DifFlow3D: Toward Robust Uncertainty-Aw...
视觉定位/位姿估计(Visual Localization/Pose Estimation) [1]PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformerspaper:https://arxiv.org/abs/2303.09187 [2]StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognitionpaper:https://...
[1]. 视觉定位挑战赛主页,https://www.visuallocalization.net [2]. From Coarse to Fine: Robust Hierarchical Localization at Large Scale,https://arxiv.org/abs/1812.03506 [3]. NetVLAD: CNN architecture for weakly supervised place recognition,http://xxx.itp.ac.cn/pdf/1511.07247v3 ...
20. 视觉推理(Visual Reasoning) 21. 迁移学习/domain/自适应 22. 对比学习(Contrastive Learning) 暂无分类 检测 图像目标检测(Image Object Detection) [7] Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection(小样本目标检测的语义关系推理) ...
keywords: Long-Tailed Recognition(长尾识别), Contrastive Learning(对比学习)paper 图像特征提取与匹配(Image feature extraction and matching) [1] Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences(弱监督语义对应的概率扭曲一致性)paper | code 视觉表征学习(Visual Representation Learning)...
[25]Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, and Juho Kannala. Hierarchical scene coordinate classification and regression for visual localization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 11983–11992, 2020. ...
[7]: Relja Arandjelovic, Petr Gronat, Akihiko Torii, Tomas Pajdla, and Josef Sivic. NetVLAD: CNN Architecture for Weakly Supervised Place Recognition. In CVPR, 2016. 1 [8]: Hernan Badino, Daniel Huber, and Takeo Kanade. The CMU Visual Localization Data Set. http://3dvis. ri.cmu.edu...
15. 模型评估(Model Evaluation) 16. 数据集(Database) 17. 主动学习(Active Learning) 18. 小样本学习/零样本(Few-shot Learning) 19. 持续学习(Continual Learning/Life-long Learning) 20. 视觉推理(Visual Reasoning) 21. 迁移学习/domain/自适应 22. 对比学习(Contrastive Learning) 暂无分类 ...