SpineNet is a convolutional neural network backbone with scale-permuted intermediate features and cross-scale connections that is learned on an object detection task by Neural Architecture Search.
Source: SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
---|---|---|
Image Classification | 3 | 17.65% |
Object Detection | 3 | 17.65% |
Semantic Segmentation | 3 | 17.65% |
General Classification | 2 | 11.76% |
Instance Segmentation | 2 | 11.76% |
Body Detection | 1 | 5.88% |
Image Generation | 1 | 5.88% |
Point Cloud Registration | 1 | 5.88% |
Real-Time Object Detection | 1 | 5.88% |