6 papers
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data
Ji Liu, Juncheng Jia, Hong Zhang +5
Despite achieving remarkable performance, Federated Learning (FL) encounters two important problems, i.e., low training efficiency and limited computational resources. In this pape…
Prompt Learning for Oriented Power Transmission Tower Detection in High-Resolution SAR Images
Tianyang Li, Chao Wang, Hong Zhang
Detecting transmission towers from synthetic aperture radar (SAR) images remains a challenging task due to the comparatively small size and side-looking geometry, with background c…
NPR: Nocturnal Place Recognition in Streets
Bingxi Liu, Yujie Fu, Feng Lu +3
Visual Place Recognition (VPR) is the task of retrieving database images similar to a query photo by comparing it to a large database of known images. In real-world applications, e…
Meta-lenses for differential imaging based on weak measurement
Xiong Liu, Rongchun Ge, Xinrui Li +3
All-optical information communication, processing and computation have received substantial interest of both fundamental and applied research due to its unrivaled speed and broad b…
Perspective Phase Angle Model for Polarimetric 3D Reconstruction
Guangcheng Chen, Li He, Yisheng Guan +1
Current polarimetric 3D reconstruction methods, including those in the well-established shape from polarization literature, are all developed under the orthographic projection assu…
Object Classification with Joint Projection and Low-rank Dictionary Learning
Homa Foroughi, Nilanjan Ray, Hong Zhang
For an object classification system, the most critical obstacles towards real-world applications are often caused by large intra-class variability, arising from different lightings…