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 |
---|
Task | Papers | Share |
---|---|---|
Classification | 2 | 13.33% |
General Classification | 2 | 13.33% |
Image Classification | 2 | 13.33% |
Instance Segmentation | 2 | 13.33% |
Object | 2 | 13.33% |
Object Detection | 2 | 13.33% |
Semantic Segmentation | 2 | 13.33% |
Deep Learning | 1 | 6.67% |