deeplabv3plus-pytorch:这是支持ResNet(79.155%)和Xception(79.945%)的deeplabv3 +的pytorch实现。 多尺度和翻转测试和COCO数据集界面已完成-源码

上传者: 42159267 | 上传时间: 2021-08-24 08:58:35 | 文件大小: 149KB | 文件类型: ZIP
最新更新:2021.01.08-最新版本代码库已发布,该代码库发布output_stride = 8 deeplabv3 +模型。 2019.01.21-升级纸张性能代码! 现在,在PASCAL VOC 2012 val set上,deeplabv3 + res101达到79.155%,deeplabv3 + xception达到79.945%。 主要错误是缺少“同步批处理标准化”的patch_replication_callback()函数。 2018.11.26-更新包括支持Xception网络,多尺度测试,网络输出步幅修改,纯火车组微调以及更多数据集界面(PASCAL Context,Cityscapes,ADE20K) 2018.09.28-在./lib/datasets/VOCDataset.py添加python评估函数 2018.09.21-修复./lib/dataset

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