2 citations · 2 across the 5 of their papers we have counts for
5 papers
SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild
Anqi Lu, Yun Cheng, Youbing Hu +3
The demand for unmanned aerial vehicle (UAV)-based image acquisition and analysis has surged, with UAVs increasingly utilized for semantic segmentation tasks. To meet the real-time…
FoCTTA: Low-Memory Continual Test-Time Adaptation with Focus
Youbing Hu, Yun Cheng, Zimu Zhou +3
Continual adaptation to domain shifts at test time (CTTA) is crucial for enhancing the intelligence of deep learning enabled IoT applications. However, prevailing TTA methods, whic…
SAC-ViT: Semantic-Aware Clustering Vision Transformer with Early Exit
Youbing Hu, Yun Cheng, Anqi Lu +2
The Vision Transformer (ViT) excels in global modeling but faces deployment challenges on resource-constrained devices due to the quadratic computational complexity of its attentio…
FocusDD: Real-World Scene Infusion for Robust Dataset Distillation
Youbing Hu, Yun Cheng, Olga Saukh +4
Dataset distillation has emerged as a strategy to compress real-world datasets for efficient training. However, it struggles with large-scale and high-resolution datasets, limiting…
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition
Youbing Hu, Yun Cheng, Anqi Lu +4
The Vision Transformer (ViT) excels in accuracy when handling high-resolution images, yet it confronts the challenge of significant spatial redundancy, leading to increased computa…