看了一个复现代码:wkentaro/pytorch-fcn 跑了一遍,轻松得到 64% mean IoU 的结果,仔细看代码,发现自己实现的 mean IoU 计算方法有问题!将自己训练的 FCN8s 用正确的 mean IoU 进行测试后发现,自己计算只有 58.5 的模型获得了 68.6 的成绩! VOC 2011 seg11valid.txt (736张,Berkeley 用的测试图集合)、VOC ...
图像语义分割用到的技术 编程语言:Python,OOP(面向对象) 深度学习框架:TensorFlow、PyTorch 计算机视觉---在深度学习的运用 计算机视觉的运用: 深度学习在计算机视觉的应用: 图像分类<---卷积神经网络CNN 图像检测<---区域卷积神经网络RCNN 图像分割<---全卷积神经网络FCN 图像描述<---迭代神经网络RNN 图像生成<...
代码: https:///pochih/FCN-pytorch/blob/master/python/fcn.py
See the [Torchvision Model Zoo](https://pytorch.org/docs/stable/torchvision/models.html) for more details. ### Training Pretrained weights from the Torchvision Model Zoo were used instead of training these models from scratch. A [conversion notebook](dependencies/conversion.ipynb) is provided. #...
For CLFT and CLFCN, we programmed upon pytorch directly and avoid too much high-level apis, thus we believe the scratch training of the models should be compatible with various environments.However, if you want to try the models we trained for our paper, there is need to keep several ...
See the [Torchvision Model Zoo](https://pytorch.org/docs/stable/torchvision/models.html) for more details. ### Training Pretrained weights from the Torchvision Model Zoo were used instead of training these models from scratch. A [conversion notebook](dependencies/conversion.ipynb) is provided. #...
See the [Torchvision Model Zoo](https://pytorch.org/docs/stable/torchvision/models.html) for more details. ### Training Pretrained weights from the Torchvision Model Zoo were used instead of training these models from scratch. A [conversion notebook](dependencies/conversion.ipynb) is provided. #...