SUIM：水下图像的语义分割：数据集和基准-源码
资料库（IROS 2020）
• •• • •
SUIM数据集
用于自然水下图像的语义分割
1525张带注释的图像用于训练/验证，110个样本用于测试
BW ：背景/水体• HD ：潜水员• PF ：水生植物和海草• WR ：残骸/废墟
RO ：机器人/仪器• RI ：礁石/无脊椎动物• FV ：鱼类和脊椎动物• SR ：海底/岩石
SUIM-Net模型
全卷积编码器-解码器网络
SUIM-Net（RSB）：简单轻巧的模型； 快速提供合理的性能
SUIM-Net（VGG）：提供更好的泛化性能
详细的体系结构在; 还提供了相关的培训/测试脚本
脚本用于性能评估
基准评估
语义分割和显着性预测的性能分析
SOTA车型比较：• • • • •
指标：•区域相似度（F得分）和•轮廓精度（mIOU）
下载实验数据和检查点数据
书目录入
@inproceedings{islam2020s
文件下载
资源详情
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