Elastic Dense Block is a skip connection block that modifies the Dense Block with downsamplings and upsamplings in parallel branches at each layer to let the network learn from a data scaling policy in which inputs are processed at different resolutions in each layer. It is called "elastic" because each layer in the network is flexible in terms of choosing the best scale by a soft policy.
Source: ELASTIC: Improving CNNs with Dynamic Scaling PoliciesPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Image Classification | 1 | 16.67% |
Object Detection | 1 | 16.67% |
Real-Time Object Detection | 1 | 16.67% |
General Classification | 1 | 16.67% |
Multi-Label Classification | 1 | 16.67% |
Semantic Segmentation | 1 | 16.67% |