3 citations · 3 across the 4 of their papers we have counts for
4 papers
SARU: A Shadow-Aware and Removal Unified Framework for Remote Sensing Images with New Benchmarks
Zi-Yang Bo, Wei Lu, Hongruixuan Chen +2
Shadows are a prevalent problem in remote sensing imagery (RSI), degrading visual quality and severely limiting the performance of downstream tasks like object detection and semant…
Building Extraction from Remote Sensing Imagery under Hazy and Low-light Conditions: Benchmark and Baseline
Feifei Sang, Wei Lu, Hongruixuan Chen +2
Building extraction from optical Remote Sensing (RS) imagery suffers from performance degradation under real-world hazy and low-light conditions. However, existing optical methods…
Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation
Minglong Li, Lianlei Shan, Weiqiang Wang +3
Recently, there have been significant improvements in the accuracy of CNN models for semantic segmentation. However, these models are often heavy and suffer from low inference spee…
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images
Lianlei Shan, Weiqiang Wang, Ke Lv +1
Semantic segmentation requires pixel-level annotation, which is time-consuming. Active Learning (AL) is a promising method for reducing data annotation costs. Due to the gap betwee…