9 papers
A Dual-Branch Framework for Semantic Change Detection with Boundary and Temporal Awareness
Yun-Cheng Li, Sen Lei, Heng-Chao Li +1
Semantic Change Detection (SCD) aims to detect and categorize land-cover changes from bi-temporal remote sensing images. Existing methods often suffer from blurred boundaries and i…
Mamba-MOC: A Multicategory Remote Object Counting via State Space Model
Peng Liu, Sen Lei, Heng-Chao Li
Multicategory remote object counting is a fundamental task in computer vision, aimed at accurately estimating the number of objects of various categories in remote images. Existing…
Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation
Yitao Zhao, Sen Lei, Nanqing Liu +3
As an essential procedure in earth observation system, change detection (CD) aims to reveal the spatial-temporal evolution of the observation regions. A key prerequisite for existi…
RCCFormer: A Robust Crowd Counting Network Based on Transformer
Peng Liu, Heng-Chao Li, Sen Lei +3
Crowd counting, which is a key computer vision task, has emerged as a fundamental technology in crowd analysis and public safety management. However, challenges such as scale varia…
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
Nanqing Liu, Xun Xu, Yongyi Su +2
Segment Anything Model (SAM) is an advanced foundational model for image segmentation, which is gradually being applied to remote sensing images (RSIs). Due to the domain gap betwe…
Exploring Fine-Grained Image-Text Alignment for Referring Remote Sensing Image Segmentation
Sen Lei, Xinyu Xiao, Tianlin Zhang +3
Given a language expression, referring remote sensing image segmentation (RRSIS) aims to identify ground objects and assign pixel-wise labels within the imagery. The one of key cha…