Semantic change detection (SCD)change detection datasettransformer siamese networkself-attention mechanismbitemporal remote sensingRecent change detection (CD) methods focus on the extraction of deep change semantic features. However, existing methods overlook the fine-grained features and have the poor ...
In this paper we present the first large scale very high resolution semantic change detection dataset, which enables the usage of deep supervised learning methods for semantic change detection with very high resolution images. The dataset contains coregistered RGB image pairs, pixel-wise change ...
More recently, an artificial intelligence remote sensing interpretation competition was held by the famous Sensetime company, where a large-scale pixel-level semantic change detection dataset was provided for SCD task.1 The challenging dataset greatly promotes the research of PLSCD as well as ...
If you use the ClearSCD codes or the LsSCD dataset, please cite our paper: @article{TANG2024299, title = {The ClearSCD model: Comprehensively leveraging semantics and change relationships for semantic change detection in high spatial resolution remote sensing imagery}, author = {Kai Tang and Fei...
Please prepare the following format dataset using change detection datasets such as TSUNAMI. In the case of a large dataset, it is not necessary to split it.Trainingpcd_5cv ├── set0/ │ ├── train/ # *.jpg │ ├── test/ # *.jpg │ ├── mask/ # *.png | ├── train...
Detecting significant linguistic shifts in the meaning and usage of words has gained more attention over the last few years. Linguistic shifts are especially prevalent on the Internet, where words’ meaning can change rapidly. In this work, we describe t
On the other hand, satellite and aerial imagery are collected from different satellites and remote sensing equipment. Notable works in this arena includes a post-tsunami aerial image dataset named ABCD (AIST Building Change Detection)14. This dataset helps in detection of flood affected buildings. ...
We report an experimental comparison using a multi-centric dataset of CRC cases from five different centers, as well as two publicly available datasets. To the best of our knowledge, this is the first time that such a research question is addressed within the context of computational pathology ...
## change the [xyz,heading] from cam to velo, from bottom to center. ## 主要是将label_2中的坐标信息进行转换,从cam转到velo中,从底部中心到几何中心 ## 将目标的偏航角进行坐标系的转换 label_path = r'D:\Craft\DATASET\FOR_MODEL\KITTI\training\label_2' ...
Fig. 11. SCD results of different methods on SECOND dataset. 4.3. Ablation analysis The ablation experiment results of the multi-scale feature aggregation module, change information extraction module, and spatial feature enhancement module are presented on the HRSCD and SECOND datasets to ascertain th...