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 | 68 | 12.45% |
General Classification | 58 | 10.62% |
Classification | 50 | 9.16% |
Semantic Segmentation | 17 | 3.11% |
Object Detection | 15 | 2.75% |
Computed Tomography (CT) | 8 | 1.47% |
Image Segmentation | 8 | 1.47% |
Quantization | 7 | 1.28% |
Super-Resolution | 5 | 0.92% |