21 citations · 22 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…
A Survey of Deep Learning-based Object Detection
Licheng Jiao, Fan Zhang, Fang Liu +4
Object detection is one of the most important and challenging branches of computer vision, which has been widely applied in peoples life, such as monitoring security, autonomous dr…
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification
Yan Ju, Lingling Li, Licheng Jiao +3
Due to the limited amount and imbalanced classes of labeled training data, the conventional supervised learning can not ensure the discrimination of the learned feature for hypersp…
Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification
Fang Liu, Junfei Shi, Licheng Jiao +5
For polarimetric SAR (PolSAR) image classification, it is a challenge to classify the aggregated terrain types, such as the urban area, into semantic homogenous regions due to shar…