Image Model Blocks

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

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%

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