A DenseNet is a type of convolutional neural network that utilises dense connections between layers, through Dense Blocks, where we connect all layers (with matching feature-map sizes) directly with each other. To preserve the feed-forward nature, each layer obtains additional inputs from all preceding layers and passes on its own feature-maps to all subsequent layers.
Source: Densely Connected Convolutional NetworksPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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General Classification | 54 | 12.39% |
Image Classification | 47 | 10.78% |
Classification | 38 | 8.72% |
Semantic Segmentation | 13 | 2.98% |
Object Detection | 8 | 1.83% |
Quantization | 7 | 1.61% |
Image Segmentation | 6 | 1.38% |
Decoder | 6 | 1.38% |
Computed Tomography (CT) | 5 | 1.15% |