Image Model Blocks

Dilated Bottleneck with Projection Block

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

Dilated Bottleneck with Projection 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. It uses a 1x1 convolution to ensure the spatial size stays fixed.

Source: DetNet: A Backbone network for Object Detection

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
General Classification 2 20.00%
Image Classification 2 20.00%
Instance Segmentation 2 20.00%
Object Detection 2 20.00%
Semantic Segmentation 2 20.00%

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