Some Collections Around MMSegmentation
本文收集一系列 MMSegmentation收录的网络结构.
以Res50-D8 在cityscapes上的性能
Methods | mIoU | FPS |
---|---|---|
DeepLabV3+ | 79.61 | 3.94 |
DNLNet | 78.61 | 2.56 |
NonLocal | 78.24 | 2.72 |
PSPNet | 77.85 | 4.07 |
GCNet | 77.69 | 3.93 |
ANN | 77.40 | 3.71 |
OCRNet | 74.30 | 10.45 |
FCN | 72.25 | 4.17 |
Pyramid Scene Parsing Network (PSPNetwork)
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Asymmetric Non-local Neural Networks for Semantic Segmentation (ANN)
Object-Contextual Representations for Semantic Segmentation
Disentangled Non-Local Neural Networks (DNL)
图中whiten的操作指的是减去关于channel通道的均值.