7 citations · 15 across the 5 of their papers we have counts for
5 papers
Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning
Zichen Tian, Yaoyao Liu, Qianru Sun
Training large foundation models from scratch for domain-specific applications is almost impossible due to data limits and long-tailed distributions -- taking remote sensing (RS) a…
Scalable Multi-Task Low-Rank Model Adaptation
Zichen Tian, Antoine Ledent, Qianru Sun
Scaling multi-task low-rank adaptation (LoRA) to a large number of tasks induces catastrophic performance degradation, such as an accuracy drop from 88.2% to 2.0% on DOTA when scal…
Learning De-Biased Representations for Remote-Sensing Imagery
Zichen Tian, Zhaozheng Chen, Qianru Sun
Remote sensing (RS) imagery, requiring specialized satellites to collect and being difficult to annotate, suffers from data scarcity and class imbalance in certain spectrums. Due t…
Non-Visible Light Data Synthesis and Application: A Case Study for Synthetic Aperture Radar Imagery
Zichen Tian, Zhaozheng Chen, Qianru Sun
We explore the "hidden" ability of large-scale pre-trained image generation models, such as Stable Diffusion and Imagen, in non-visible light domains, taking Synthetic Aperture Rad…
Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models
Zhaozheng Chen, Qianru Sun
The rapid development of deep learning has driven significant progress in image semantic segmentation - a fundamental task in computer vision. Semantic segmentation algorithms ofte…