6 citations · 20 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
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…
SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation
Yitao Zhao, Turgay Celik, Nanqing Liu +2
In conventional remote sensing change detection (RS CD) procedures, extensive manual labeling for bi-temporal images is first required to maintain the performance of subsequent ful…
FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space
Hui Ma, Sen Lei, Turgay Celik +1
Facial Expression Recognition (FER) plays a pivotal role in understanding human emotional cues. However, traditional FER methods based on visual information have some limitations,…
Toward distortion-aware change detection in realistic scenarios
Yitao Zhao, Heng-Chao Li, Nanqing Liu +1
In the conventional change detection (CD) pipeline, two manually registered and labeled remote sensing datasets serve as the input of the model for training and prediction. However…
CLIP-Guided Source-Free Object Detection in Aerial Images
Nanqing Liu, Xun Xu, Yongyi Su +3
Domain adaptation is crucial in aerial imagery, as the visual representation of these images can significantly vary based on factors such as geographic location, time, and weather…