Spatial Feature Transform (SFT) layer: advantges: 1. It isparameter-efficient.Reconstruction of an HR image with rich semantic regions can be achieved with just a single forward pass through transforming the intermediate features of a single network. 它具有参数效率。 通过转换单个网络的中间特征,只...
We have explored the use of semantic segmentation maps as categorical prior for constraining the plausible solution space in SR. A novel Spatial Feature Transform (SFT) layer has been proposed to efficiently incorporate the categorical conditions into a CNN-based SR network. Thanks to the SFT laye...
This is made possible through a novel Spatial Feature Transform (SFT) layer that generates affine transformation parameters for spatial-wise feature modulation. SFT layers can be trained end-to-end together with the SR network using the same loss function. During testing, it accepts an input ...
A Spatial Feature Transform (SFT) layer has been proposed to efficiently incorporate the categorical conditions into a CNN network. There is a fantastic blog explaining the widely-used feature modulation operation distill - Feature-wise transformations. Semantic Categorical Prior We have explored the use...
MPSRnnMatrixTrainingLayer MPSRnnMatrixTrainingState MPSRnnRecurrentImageState MPSRnnRecurrentMatrixState MPSRnnSequenceDirection MPSRnnSingleGateDescriptor MPSScaleTransform MPSSize MPSState MPSStateBatch MPSStateResourceList MPSStateResourceType MPSStateTextureInfo MPSTemporaryImage MPSTemporaryMatrix MPSTemporaryVecto...
{ GameObject surface;switch(changeType) {caseSurfaceChange.Added:caseSurfaceChange.Updated:// Create (or get existing if updating) object on a custom layer.// This creates the new game object to hold a piece// of the spatial mesh.surface = GetSurfaceObject(id.handle, transform);// Queue ...
MPSRnnMatrixTrainingLayer MPSRnnMatrixTrainingState MPSRnnRecurrentImageState MPSRnnRecurrentMatrixState MPSRnnSequenceDirection MPSRnnSingleGateDescriptor MPSScaleTransform MPSSize MPSState MPSStateBatch MPSStateResourceList MPSStateResourceType MPSStateTextureInfo MPSTemporaryImage MPSTemporaryMatrix MPSTemporaryVecto...
在SFT网络中SFT layer针对该condition进行处理得到对应的scale和shift对feature map进行transform。所以网络最后能够针对不同类别的语义学到相应的处理,也就可以通过语义分割mask引导网络的处理。
MPSRnnMatrixTrainingLayer MPSRnnMatrixTrainingState MPSRnnRecurrentImageState MPSRnnRecurrentMatrixState MPSRnnSequenceDirection MPSRnnSingleGateDescriptor MPSScaleTransform MPSSize MPSState MPSStateBatch MPSStateResourceList MPSStateResourceType MPSStateTextureInfo MPSTemporaryImage MPSTemporaryMatrix MPSTemporaryVecto...
These sets feature random real-world application scenarios, adding a layer of practical complexity to the investigation. The estimation results are summarized in Table 3. Table 3. The test errors over the cell and pack dataset. 3.1.1. Cell Level SOC Estimation at Dynamic Temperatures A prime ...