285 citations · 336 across the 8 of their papers we have counts for
5 papers · 1 filter
Informative Sample Selection Model for Skeleton-based Action Recognition with Limited Training Samples
Zhigang Tu, Zhengbo Zhang, Jia Gong +2
Skeleton-based human action recognition aims to classify human skeletal sequences, which are spatiotemporal representations of actions, into predefined categories. To reduce the re…
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
Yapeng Li, Yong Luo, Lefei Zhang +2
Transformer has been extensively explored for hyperspectral image (HSI) classification. However, transformer poses challenges in terms of speed and memory usage because of its quad…
Boosting Semi-Supervised Object Detection in Remote Sensing Images With Active Teaching
Boxuan Zhang, Zengmao Wang, Bo Du
The lack of object-level annotations poses a significant challenge for object detection in remote sensing images (RSIs). To address this issue, active learning (AL) and semi-superv…
Building-road Collaborative Extraction from Remotely Sensed Images via Cross-Interaction
Haonan Guo, Xin Su, Chen Wu +2
Buildings are the basic carrier of social production and human life; roads are the links that interconnect social networks. Building and road information has important application…
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Xingping Dong, Tianran Ouyang, Shengcai Liao +2
Most existing few-shot learning (FSL) methods require a large amount of labeled data in meta-training, which is a major limit. To reduce the requirement of labels, a semi-supervise…