4 papers · 1 filter
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…
Robust Noisy Correspondence Learning via Self-Drop and Dual-Weight
Fan Liu, Chenwei Dong, Chuanyi Zhang +2
Many researchers collect data from the internet through crowd-sourcing or web crawling to alleviate the data-hungry challenge associated with cross-modal matching. Although such pr…
Prompting DirectSAM for Semantic Contour Extraction in Remote Sensing Images
Shiyu Miao, Delong Chen, Fan Liu +4
The Direct Segment Anything Model (DirectSAM) excels in class-agnostic contour extraction. In this paper, we explore its use by applying it to optical remote sensing imagery, where…
Making Large Vision Language Models to be Good Few-shot Learners
Fan Liu, Wenwen Cai, Jian Huo +3
Few-shot classification (FSC) is a fundamental yet challenging task in computer vision that involves recognizing novel classes from limited data. While previous methods have focuse…