这个仓库是2024 MS文章:Hierarchical and Progressive Learning with Key Point Sensitive Loss for Sonar Image Classification的实现代码。 运行实验 数据集 我们使用了NanKai Sonar Image Dataset (NKSID)和marine-debris-fls-datasets (FLSMDD)数据集来测试JBHTPL。
Comprehensive experiments show that SonarRanDiff surpasses state-of-the-art methods by at least 4.5% on our sonar dataset, underscoring its superior ability to address the unique challenges of sonar imaging. The code is available at: https://github.com/mzh529/SonarRanDiff.git .Ma, Zhihao...
Segment Anything Model, SAM, Sonar images. Contribute to wangsssky/SonarSAM development by creating an account on GitHub.
Furthermore, real sonar data is collected to compose the real continuous sonar dataset. Our DNTFE-Net exhibits superior recognition performance on the real sonar dataset compared to other popular methods, with an improvement of at least 27%. Our algorithms are publicly available at https://github...
Our experimental results highlight thatthe S3Simulator dataset will be a promising benchmark datasetfor research on underwater image analysis. https://github.com/bashakamal/S3Simulator .Kamal Basha, S.SRM Institute of Science and TechnologyNambiar, Athira...
A rapid API for the Project Sonar dataset. Contribute to Cgboal/SonarSearch development by creating an account on GitHub.
The output of the MuTox classifier is a logit of the evaluated being "toxic", according to the definition adopted in the corresponding dataset. from sonar.models.mutox.loader import load_mutox_model from sonar.inference_pipelines.text import TextToEmbeddingModelPipeline import torch if torch.cuda...
In general, the GCT-YOLOv5 has the characteristics of strong robustness, lightweight, and high efficiency, which is especially suitable for situations requiring real-time detection based on SSS image. The source code and dataset of GCT-YOLOv5 can be viewed athttps://github.com/gx-123/GCT-...
Sonar Common Target Detection Dataset . Contribute to MingqiangNing/SCTD development by creating an account on GitHub.
Dataset title: Synthetic Aperture Sonar Seabed Environment Dataset (SASSED) Date: June 2018 Description: This dataset contains 129 complex-valued, single (high frequency) channel, 1001x1001 pixel, synthetic aperture sonar snippets of various seafloor texture types. Each snippet contains one or more ...