21 citations · 26 across the 3 of their papers we have counts for
7 papers · 1 filter
ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model
Guanchun Wang, Xiangrong Zhang, Yifei Zhang +4
Unsupervised anomaly detection in hyperspectral images (HSI), aiming to detect unknown targets from backgrounds, is challenging for earth surface monitoring. However, current studi…
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances
Xiangrong Zhang, Tianyang Zhang, Guanchun Wang +4
Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received longstanding attention. In recent years, deep le…
SoftMatch Distance: A Novel Distance for Weakly-Supervised Trend Change Detection in Bi-Temporal Images
Yuqun Yang, Xu Tang, Xiangrong Zhang +2
General change detection (GCD) and semantic change detection (SCD) are common methods for identifying changes and distinguishing object categories involved in those changes, respec…
Transformers Meet Visual Learning Understanding: A Comprehensive Review
Yuting Yang, Licheng Jiao, Xu Liu +4
Dynamic attention mechanism and global modeling ability make Transformer show strong feature learning ability. In recent years, Transformer has become comparable to CNNs methods in…
Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images
Tianyang Zhang, Xiangrong Zhang, Peng Zhu +4
In this paper, we focus on the challenging multicategory instance segmentation problem in remote sensing images (RSIs), which aims at predicting the categories of all instances and…
Deep Adaptive Proposal Network for Object Detection in Optical Remote Sensing Images
Lin Cheng, Xu Liu, Lingling Li +2
Object detection is a fundamental and challenging problem in aerial and satellite image analysis. More recently, a two-stage detector Faster R-CNN is proposed and demonstrated to b…