1 citations · 1 across the 14 of their papers we have counts for
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RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classification
Guangwenjie Zou, Liang Yao, Fan Liu +5
Since high resolution remote sensing image classification often requires a relatively high computation complexity, lightweight models tend to be practical and efficient. Model prun…
Domain-invariant Progressive Knowledge Distillation for UAV-based Object Detection
Liang Yao, Fan Liu, Chuanyi Zhang +2
Knowledge distillation (KD) is an effective method for compressing models in object detection tasks. Due to limited computational capability, UAV-based object detection (UAV-OD) wi…
UEMM-Air: Make Unmanned Aerial Vehicles Perform More Multi-modal Tasks
Liang Yao, Fan Liu, Shengxiang Xu +6
The development of multi-modal learning for Unmanned Aerial Vehicles (UAVs) typically relies on a large amount of pixel-aligned multi-modal image data. However, existing datasets f…
Boost UAV-based Ojbect Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning
Fan Liu, Liang Yao, Chuanyi Zhang +4
Detecting objects from Unmanned Aerial Vehicles (UAV) is often hindered by a large number of small objects, resulting in low detection accuracy. To address this issue, mainstream a…