21 citations · 21 across the 2 of their papers we have counts for
4 papers
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…
Polarimetric Convolutional Network for PolSAR Image Classification
Xu Liu, Licheng Jiao, Xu Tang +2
The approaches for analyzing the polarimetric scattering matrix of polarimetric synthetic aperture radar (PolSAR) data have always been the focus of PolSAR image classification. Ge…