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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Image Classification | 72 | 11.59% |
General Classification | 58 | 9.34% |
Classification | 55 | 8.86% |
Semantic Segmentation | 21 | 3.38% |
Object Detection | 15 | 2.42% |
Image Segmentation | 11 | 1.77% |
Computed Tomography (CT) | 9 | 1.45% |
Decoder | 9 | 1.45% |
Quantization | 8 | 1.29% |