Synchronized Batch Normalization (SyncBN) is a type of batch normalization used for multi-GPU training. Standard batch normalization only normalizes the data within each device (GPU). SyncBN normalizes the input within the whole mini-batch.
Source: Context Encoding for Semantic SegmentationPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Object Detection | 2 | 15.38% |
Semantic Segmentation | 2 | 15.38% |
Image Augmentation | 1 | 7.69% |
Road Damage Detection | 1 | 7.69% |
2D Object Detection | 1 | 7.69% |
Novel Object Detection | 1 | 7.69% |
Object | 1 | 7.69% |
Object Localization | 1 | 7.69% |
Scene Parsing | 1 | 7.69% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |