317 citations · 1.2k across the 45 of their papers we have counts for
6 papers · 1 filter
Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images
Bo Du, Lixiang Ru, Chen Wu +1
Change detection has been a hotspot in remote sensing technology for a long time. With the increasing availability of multi-temporal remote sensing images, numerous change detectio…
Defect Detection from UAV Images based on Region-Based CNNs
Meng Lan, Yipeng Zhang, Lefei Zhang +1
With the wide applications of Unmanned Aerial Vehicle (UAV) in engineering such as the inspection of the electrical equipment from distance, the demands of efficient object detecti…
TLR: Transfer Latent Representation for Unsupervised Domain Adaptation
Pan Xiao, Bo Du, Jia Wu +3
Domain adaptation refers to the process of learning prediction models in a target domain by making use of data from a source domain. Many classic methods solve the domain adaptatio…
Unsupervised Domain Adaptive Re-Identification: Theory and Practice
Liangchen Song, Cheng Wang, Lefei Zhang +4
We study the problem of unsupervised domain adaptive re-identification (re-ID) which is an active topic in computer vision but lacks a theoretical foundation. We first extend exist…
Object Tracking in Satellite Videos Based on a Multi-Frame Optical Flow Tracker
Bo Du, Shihan Cai, Chen Wu +2
Object tracking is a hot topic in computer vision. Thanks to the booming of the very high resolution (VHR) remote sensing techniques, it is now possible to track targets of interes…
Multi-class Active Learning: A Hybrid Informative and Representative Criterion Inspired Approach
Xi Fang, Zengmao Wang, Xinyao Tang +1
Labeling each instance in a large dataset is extremely labor- and time- consuming . One way to alleviate this problem is active learning, which aims to which discover the most valu…