DetNet is a backbone convolutional neural network for object detection. Different from traditional pre-trained models for ImageNet classification, DetNet maintains the spatial resolution of the features even though extra stages are included. DetNet attempts to stay efficient by employing a low complexity dilated bottleneck structure.
Source: DetNet: A Backbone network for Object DetectionPaper | Code | Results | Date | Stars |
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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% |