1 code implementation • 22 Jul 2024 • Kaiyu Li, Jiawei Jiang, Andrea Codegoni, Chengxi Han, Yupeng Deng, Keyan Chen, Zhuo Zheng, Hao Chen, Zhengxia Zou, Zhenwei Shi, Sheng Fang, Deyu Meng, Zhi Wang, Xiangyong Cao
We present Open-CD, a change detection toolbox that contains a rich set of change detection methods as well as related components and modules.
2 code implementations • 8 May 2024 • Kaiyu Li, Xiangyong Cao, Yupeng Deng, Junmin Liu, Deyu Meng, Zhi Wang
The insight of SemiCD-VL is to synthesize free change labels using VLMs to provide additional supervision signals for unlabeled data.
1 code implementation • 8 Apr 2024 • Shihong Wang, Ruixun Liu, Kaiyu Li, Jiawei Jiang, Xiangyong Cao
This paper focuses on the relevance between base and novel classes, and improves GFSS in two aspects: 1) mining the similarity between base and novel classes to promote the learning of novel classes, and 2) mitigating the class imbalance issue caused by the volume difference between the support set and the training set.
2 code implementations • 2 Dec 2023 • Kaiyu Li, Xiangyong Cao, Deyu Meng
Change detection (CD) is a critical task to observe and analyze dynamic processes of land cover.
Building change detection for remote sensing images Change Detection +1
1 code implementation • 18 May 2023 • Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu
In this paper, we propose ConsistentNeRF, a method that leverages depth information to regularize both multi-view and single-view 3D consistency among pixels.
1 code implementation • 17 Sep 2022 • Sheng Fang, Kaiyu Li, Zhe Li
To verify the effectiveness of MetaChanger, we propose two derived models, ChangerAD and ChangerEx with simple interaction strategies: Aggregation-Distribution (AD) and "exchange".
Ranked #3 on Change Detection on LEVIR-CD
Building change detection for remote sensing images Change Detection +1
1 code implementation • 9 Jun 2021 • Sheng Fang, Kaiyu Li, Zhe Li
Aimed at both questions this paper proposes the salient positions-based attention scheme SPANet, which is inspired by some interesting observations on the attention maps and affinity matrices generated in self-attention scheme.
1 code implementation • 27 Oct 2020 • Kaiyu Li, Zhe Li, Sheng Fang
In this paper, we improve the semantic segmentation network UNet++ and propose a fully convolutional siamese network (Siam-NestedUNet) for change detection.
Change Detection Change detection for remote sensing images +2