Local Contrast Normalization is a type of normalization that performs local subtraction and division normalizations, enforcing a sort of local competition between adjacent features in a feature map, and between features at the same spatial location in different feature maps.
Paper | Code | Results | Date | Stars |
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Task | Papers | Share |
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General Classification | 3 | 17.65% |
Image Classification | 2 | 11.76% |
Tensor Networks | 1 | 5.88% |
Action Classification | 1 | 5.88% |
Action Recognition | 1 | 5.88% |
Self-Supervised Image Classification | 1 | 5.88% |
Decoder | 1 | 5.88% |
Rain Removal | 1 | 5.88% |
Single Image Deraining | 1 | 5.88% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |