参考引用:Masone C, Caputo B. A survey on deep visual place recognition[J]. IEEE Access, 2021, 9: 19516-19547.论文机构:意大利技术研究院;意大利都灵理工大学 重要程度:★☆☆☆;冗长! 更新时间:20231201 目录 ABSTRACT I. INTRODUCTION II. VPR手工特征表示 A. 局部描述子 B. 全局描述子 Ⅲ. VPR深...
Visual place recognition: A survey. IEEE Trans Rob 2016;32(1):1-19.Stephanie Lowry, Niko Sunderhauf, Paul Newman, John J Leonard, David Cox, Peter Corke, and Michael J Milford. Visual Place Recognition: A Survey. IEEE Transactions on Robotics, in press, 2016.Lowry, S., Su¨nderhauf,...
Deep Facial Expression Recognition: A Survey Shan Li and Weihong Deng ∗ , Member, IEEE 虽然人脸检测是实现特征学习的唯一必要步骤,但进一步利用局部地标的坐标对人脸进行比对可以显著提高识别性能。这一步是至关重要的,因为它可以减少面部尺度和平面内旋转的变化。表2研究了深度FER中广泛使用的人脸关键点检测算...
Visual Place Recognition: A Survey from Deep Learning Perspective Visual place recognition has attracted widespread research interest in multiple fields such as computer vision and robotics. Recently, researchers have emp... X Zhang,L Wang,Y Su - 《Pattern Recognition》 被引量: 0发表: 2020年 ...
A Survey on Deep Visual Place Recognition In recent years visual place recognition (VPR), i.e., the problem of recognizing the location of images, has received considerable attention from multiple ... C Masone,B Caputo - 《IEEE Access》 被引量: 0发表: 2021年 Improving ESL Learners' Listeni...
人工翻译的Visual Place Recognition_ A Survey视觉场景识别综述 视觉场景识别 visual recog2018-12-18 上传大小:3.00MB 所需:36积分/C币 基于SpringBoot的高校宿舍管理系统,分为系统管理员、宿舍管理员、学生三个角色。宿舍管理员可以在系统中对楼宇和宿舍进行管理、对学生进行管理、对学生安排宿.zip ...
Recent work by (Zhou et al. 2024c) employs mul- tiple sensors for human activity recognition, incorporating sensor data in the feature selec- tion process. Such approach could enhance human interaction in dynamic environments. 1 3 A survey on deep 3D human pose estimation 3 Single-...
This survey aims to provide opinions on this issue. From a historical perspective, the availability of larger datasets combined with the transition from CPU-based training to graphics processing unit (GPU)-based training leads to paradigm shifts and a gradual reduction in human intervention. The ...
Deep learning technology has enabled successful modeling of complex facial features when high-quality images are available. Nonetheless, accurate modeling and recognition of human faces in real-world scenarios “on the wild” or under adverse conditions
Radu, V., et al.: Multimodal deep learning for activity and context recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 157:1–157:27 (2018) Ramachandram, D., Taylor, G.W.: Deep multimodal learning: a survey on recent advances and trends. IEEE Signal Process. Mag. ...