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 DetectionPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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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% |
Component | Type |
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1x1 Convolution
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Convolutions | |
Dilated Convolution
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Convolutions | |
ReLU
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Activation Functions | |
Residual Connection
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Skip Connections |