Convolutional Neural Networks


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

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 Detection


Paper Code Results Date Stars


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%