Comments (1)
It can be multiplied by channels per group. The dimension size of axis 1 is group*kernel_size*kernel_size.
from adaptive-anti-aliasing.
Related Issues (14)
- Could you provide the pretrained resnet50_k3_pasa_group8_softmax model? HOT 9
- How about using sigmoid instead of softmax when generating the low-passing filter HOT 1
- What does 'pasa' stand for?
- About mASSC?
- Difference between params 'groups' and 'pasa_group'
- hi,about semantic segmentation task
- Adding license to this repo?
- Object Detection
- anti-aliasing filter size is 5 in testing but 3 in training? filter size matters? HOT 3
- Missing dilate to work with DeepLabV3+ HOT 3
- why using softmax in groups*k_size*k_size? HOT 1
- Instance Segmentation HOT 1
- Doubt about the pasa with involution HOT 1
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from adaptive-anti-aliasing.