Dilated Bottleneck Block

Introduced by Li et al. in DetNet: A Backbone network for Object Detection

Dilated Bottleneck Block is an image model block used in the DetNet convolutional neural network architecture. It employs a bottleneck structure with dilated convolutions to efficiently enlarge the receptive field.

Source: DetNet: A Backbone network for Object Detection

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Papers

Paper	Code	Results	Date	Stars

Tasks

Task	Papers	Share
Classification	2	16.67%
General Classification	2	16.67%
Image Classification	2	16.67%
Instance Segmentation	2	16.67%
Object Detection	2	16.67%
Semantic Segmentation	2	16.67%